EU Electricity Market Evolution
EU Electricity Market Evolution
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vi Evolution of electricity markets in Europe
8 How to put the citizen at the centre of the energy transition? 153
Leonardo Meeus with Athir Nouicer
8.1 Why did we start this new paradigm? 153
8.2 How is this change of paradigm being implemented? 154
8.3 Conclusion 156
8A.1 Annex: Regulatory guide 158
9 Conclusion 164
Leonardo Meeus
Index 165
Figures
1.2 The development of TSOs at the national and European levels and
a selection of their tasks 6
3A.1 Scheduled flows (black), transit flows (white, left) and loop flows
(white, right); the different rectangular areas represent bidding zones 61
4.1 The Norway–Sweden case (left) and the Italy–Greece case (right) 74
6.1 Capacities lost at the frequencies reached in the three areas during the
split of the Continental European system on 4 November 2006 112
6.2 Evolution of RSCIs into RSCs and then RCCs and a selection of their tasks 114
6.3 Timelines from publication to entry into application of RfG NC and DC NC 117
viii
Tables
5.2 Market shares of the largest BSP for FRR between 2003 and 2005 93
6.1 Limits for thresholds for different types of power-generating modules 117
ix
Boxes
x
List of authors
Leonardo Meeus is Professor of Strategy and Corporate Affairs at Vlerick Business School.
He is the Director of the Vlerick Energy Centre. He is also a Professor in the Florence School
of Regulation at the European University Institute. In Florence, he is Course Director of online
courses on the latest regulatory trends in the energy sector, such as the EU Clean Energy
Package and the EU electricity network codes. He is a member of the International Association
for Energy Economics. Leonardo graduated from KU Leuven as a business engineer. He later
obtained a PhD in electrical engineering from the same university. He works as an expert for
EU institutions, regulatory agencies and companies on research contracts and in advisory
roles.
CHAPTER CO-AUTHORS
Athir Nouicer has been working as a research associate at the Florence School of Regulation
(FSR) since 2017, where he is part of the electricity regulation research team. His main
research interests are the EU Clean Energy Package and the use of flexibility in distribution
grids. He is currently also a PhD researcher at KU Leuven. Before joining FSR, Athir worked
at the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) as an energy expert
for the German–Tunisian Energy Partnership. He graduated as a mechanical engineer from
the National Engineering School of Tunis and holds two master’s degrees under the EMIN
programme: in the Digital Economy and Network Industries from Université Paris Sud XI and
in the Electric Power Industry from Universidad Pontificia Comillas.
Valerie Reif has been working as a research associate at the Florence School of Regulation
(FSR) since 2018, where she is part of the electricity regulation research team. Her main
research interests are currently the EU electricity network codes and the management and
exchange of electricity network, market and consumer data. Before joining FSR in 2018, she
worked at the technology platform Smart Grids Austria, and gathered valuable experience at
Austrian Power Grid and at the EU Representation Office of Oesterreichs Energie. Valerie
holds both a BSc and an MSc degree in Renewable Energy Engineering from the University
of Applied Sciences Technikum Wien in Austria and a BA in European Studies from the
University of Passau in Germany.
Tim Schittekatte has been a research associate at the Florence School of Regulation since
2016, where he is part of the electricity regulation research team. His main research interests
are currently EU electricity network codes, flexibility markets and distribution network tariff
design. He is also affiliated with the Vlerick Energy Centre in Brussels. Before joining FSR,
he was a visiting researcher at the Grid Integration Group at the Lawrence Berkeley National
xi
xii Evolution of electricity markets in Europe
xiii
xiv Evolution of electricity markets in Europe
de Villena, Francis Dike, Ellen Diskin, Piero Dos Reis, Žilvinas Dragūnas, Alexander Dusolt,
Gianluca Flego, Marco Foresti, Lars Olav Fosse, Mathieu Fransen, Eivind Gamme, Stamatia
Gkiala Fikari, Samson Hadush, Bastian Henze, Lenka Jancova, Tata Katamadze, Nico Keyaerts,
Mathias Katz, Vrahimis Koutsoloukas, Randi Kristiansen, Ketevan Kukava, Mariam Kukava,
Patrícia Lages, Mathilde Lallemand, Olivier Lamquet, Sam Lansink, Mathias Lorenz, Dijana
Martinčić, Emilie Milin, Matteo Moraschi, Nadine Mounir, Frank Nobel, Louise Nørring,
Marco Savino Pasquadibisceglie, Marco Pavesi, Konstantinos Petsinis, Ralph Pfeiffer, Martin
Pistora, Marta Poncela, Lorenz Rentsch, Ioannis Retsoulis, Martin Roach, Nicolò Rossetto,
Ali Sefear, Susana Serôdio, Ioannis Theologitis, Athanasios Troupakis, Per Arne Vada, Mihai
Valcan, Ellen Valkenborgs, Waldo Vandendriessche, Marco Vilardo, Michael Wilch, Steve
Wilkin, Nynke Willemsen, Peter Willis, Cherry Yuen and David Ziegler.
I would also like to thank the hundreds of participants who interacted with us in these online
training sessions and motivated us to write this book.
Finally, I thank Athir Nouicer, Valerie Reif and Tim Schittekatte. We co-teach in the online
training sessions and we also co-authored this book. They are the next generation of giants
in the field of electricity markets. We enjoyed writing this book and we hope you will enjoy
reading it.
Leonardo
List of abbreviations
4MMC 4M Market Coupling
AC Alternating Current
ACER (European Union) Agency for the Cooperation of Energy
Regulators
aFRP Automatic Frequency Restoration Process
aFRR Automatic Frequency Restoration Reserves
AM Available Margin
APX Amsterdam Power Exchange
Belpex Belgian Power Exchange
BRP Balance Responsible Party
BSP Balancing Service Provider
CACM GL Capacity Allocation and Congestion Management Guideline
CBA Cost–Benefit Analysis
CBCA Cross-Border Cost Allocation
CCGT Combined Cycle Gas Turbine
C-component Consumer component
CCR Capacity Calculation Region
CE Continental Europe
CEC Citizen Energy Community
CEE Central Eastern Europe
CEER Council for European Energy Regulators
CEF Connecting Europe Facility
CEP Clean Energy for all Europeans Package (Clean Energy Package)
CGM Common Grid Model
CGS Critical Grid Situation
CHP Combined Heat and Power
CNC Connection Network Code
CNE Critical Network Element
CO2 Carbon Dioxide
CoBA Coordinated Balancing Area
xv
xvi Evolution of electricity markets in Europe
can be separate markets or integrated into balancing markets or intraday markets. Corrections
are also needed if wholesale and balancing markets do not result in adequate investment in
generation capacity, demand-side flexibility or energy storage assets, and these corrections are
called capacity mechanisms. They price resource adequacy (Chapter 7).
Day-ahead markets were the first to be integrated into a European market, and were
followed by intraday and balancing energy markets. Forward transmission markets are cen-
tralized in one European platform (Chapter 2). Balancing capacity markets are still mainly
national or regional with only some aspects Europeanized. There is little effort to integrate
capacity mechanisms, and we do not yet know what will happen to redispatching markets and
flexibility markets. Finally, transit charges for transporting electricity over borders have been
abolished, and this happened long before roaming charges for mobile phones were abolished
(Chapter 4).
The benefits of electricity market integration were not clear at the start of the process.
Only after the markets developed at the national level with increasing transparency could the
benefits of integration at the European scale be assessed. Today, we have the evidence, and it
confirms that the benefits are significant (Chapter 1).
In this book, we tell the story of how Europeans have experienced the evolution of electric-
ity markets since the end of the 1990s. As far as we know, this experiment has not yet been
bundled into a book that bridges theory and practice. This has motivated us to document this
unique European creation.
Defining moments in the process include the four waves of European legislative pack-
ages (Chapter 1), a landmark court case and a software bug (Chapter 2), an Italian blackout
(Chapter 3), delayed clocks (Chapter 5), a cruise ship (Chapter 6), the financial crisis (Chapter
7) and school strikes and climate marches (Chapter 8).
In each chapter we will also refer to both issues that have been settled and issues that are still
open and we continue to face today. There are too many to list them all here, but here are a few
examples. Settled issues include explicit versus implicit auctions (Chapter 2), flow-based
market coupling (Chapter 3), the inter-TSO compensation mechanism (Chapter 4), single
versus dual pricing and regional versus European platforms in balancing markets (Chapter
5), and the connection requirements for wind and solar units (Chapter 6). Open issues include
product definitions in forward transmission markets and transmission allocation in the intraday
market (Chapter 2), the configuration of bidding zones (Chapter 3), creating a level playing
field for all grid users to access electricity markets (Chapter 4), the filtering of balancing bids
by system operators and transmission capacity reservation for balancing (Chapter 5), the con-
nection requirements for storage units (Chapter 6), the role of capacity mechanisms (Chapter
7), and a new paradigm to put the citizen at the centre of the energy transition (Chapter 8).
Looking back, most of the market integration process so far required horizontal coordi-
nation between transmission system operators from different countries. Looking forward,
vertical coordination between transmission and distribution system operators is becoming
more important, and this coordination process has only just started. We no longer talk about
completing the integration of electricity markets in Europe; instead, we embrace the process
and go with the flow. We hope you will do the same after reading this book.
If you are a European academic or practitioner, this book will provide you with the nec-
essary background to the debates that you are involved in. You will learn the language used
in the world of electricity markets in Europe. In each chapter, we include endnotes with the
xxii Evolution of electricity markets in Europe
main references and an annex with a regulatory guide to the legislative texts and regulatory
decisions that are driving the market integration process. A few key technical concepts are also
explained in the annexes.
If you are a non-European involved in the development of an international or multi-region
electricity market, the book gives you a list of issues you will face, together with the European
solutions. Your context is different, so you might need different solutions, but you can still
learn from the trial and error process we have gone through in Europe.
In combination with this European tour, you might like a global tour and a more in-depth
discussion of electricity market theory. We warmly recommend that you read the Handbook
on Electricity Markets by Jean-Michel Glachant, Paul Joskow and Michael Pollitt, which
together with this book is published by Edward Elgar.
Structure of this book
For other products and services, markets produce price signals that limit shortages. If a short-
age seems to be on the horizon, prices go up and investment follows. If shortages do occur,
the users of the product or service who are last in line have to wait. In the case of electricity,
if there are shortages there is rationing, so we share the pain. Candles at home can be cosy
for a few hours but they provide little consolation when you are trapped in a lift or a metro.
Without electricity, nothing in our society works. All kinds of safeguards have therefore been
put in place to intervene in electricity markets when needed. These interventions tend to be
more national than European, but some progress has been made in cross-border collaboration
in Europe to reduce costs and to limit market distortions. In the second part of the book, we
discuss how this works.
–– PART III: HOW TO PUT THE CITIZEN AT THE CENTRE OF THE ENERGY
TRANSITION?
–– Chapter 8: How to put the citizen at the centre of the energy transition?
xxiii
xxiv Evolution of electricity markets in Europe
We used to think of citizens as electricity consumers. When electricity markets were intro-
duced to replace the national monopolies that dominated the sector, the promise was that it
would result in cheaper prices and better service. Soon after markets were introduced, Europe
also started to decarbonize its electricity sector by subsidizing renewable energy and energy
efficiency. The energy transition made the system more sustainable but drove up prices, as
about a third of an electricity bill is made up with taxes and levies to recuperate costs from
subsidies that have been granted. To keep them on board, citizens have now been offered
a new deal. Instead of remaining passive consumers, they can become active by producing
their own electricity with smart buildings, by engaging in peer-to-peer trade or by joining
energy communities. In the third part of the book, we discuss these recent developments and
their impact on electricity markets.
PART I
In this chapter we answer three questions. First, what was the political process that led to
electricity markets in Europe? Second, what were the technical drivers for creating a European
power system? Third, what do we know about the benefits of integrating electricity markets
in Europe?
From a political perspective, the integration of electricity markets followed three main steps,
with increasing levels of detail: European treaties, EU legislative energy packages and more
detailed market rules that have been developed in the process of creating EU electricity
network codes and guidelines.
First are the European treaties. The aim to create a common market to eliminate trade barri-
ers between Member States dates back to the founding Treaty of Rome in 1957. Twenty-nine
years later, the Single European Act of 1986 was adopted as the first major revision of the
Treaty of Rome. It paved the way for what was to become one of the main achievements of
the European project: the Single European Act required the adoption of measures with the
aim of establishing an internal market by 31 December 1992.1 Later that year, the Council
(1986) adopted energy policy objectives for the European Community, among which was that
of ‘greater integration, free from barriers to trade, of the internal energy market with a view
to improving security of supply, reducing costs and improving economic competitiveness’.
In 1988, the Commission of the European Communities published the first document on the
internal energy market, which assessed that there were still considerable barriers to trade in
energy products within the Community (EC 1988). On 1 January 1993, the European Single
Market became a reality for the 12 Member States at that time. However, integrating the
energy sector into the European Single Market alongside other goods proved lengthier and
more complex than had originally been anticipated. The year 1993 turned out to be only the
starting point of a long, and still ongoing, process to build an EU internal market for electricity,
as we will show in this book. One reason was the legacy structure of the energy sector and the
non-existence of markets at the national level. Up to the mid-1990s, the electricity sector was
still dominated by state-owned or state-controlled vertically integrated utilities with regional
or national monopolies. Cross-border trade was limited due to a lack of infrastructure and rules
to organize this trade.
2
Why did we start with electricity markets in Europe?
Figure 1.1 The main steps in the evolution of European electricity markets
3
4 Evolution of electricity markets in Europe
Second are the EU legislative energy packages. Profound changes were introduced to the
national electricity sectors in three Electricity Market Directives in 1996, 2003 and 2009, as is
shown in Figure 1.1. More recently, a fourth directive was adopted in 2019. All the directives
are part of a so-called energy package. While the first three packages included one directive
each for the electricity and the gas sectors plus a varying number of regulations for both
sectors, the Clean Energy for All Europeans Package (Clean Energy Package, CEP) did not
address the gas sector directly. Curiously enough, the naming of these packages follows its
own logic, as is described in Box 1.1.
The First Package and Directive 96/92/EC (First Directive) kicked off the liberalization
process by introducing a distinction between the regulated part of the sector (network) and
the competitive parts (generation and supply). However, it left a large margin of choice for
the Member States as to how to introduce more competition into their electricity markets,
resulting in significant differences in the level of market opening. Despite its failure to deliver
the degree of liberalization originally intended, the First Directive gave the Member States
and their national utility champions a taste of what was to come.2 In the following decades,
national markets were gradually opened with the Second, the Third and the Clean Energy
Package entering into force. As we will refer to the changes brought by the CEP throughout
this book, Box 1.2 provides an introduction to it.
Why did we start with electricity markets in Europe? 5
The Clean Energy Package is the latest of four packages that have been introducing fun-
damental changes to national electricity sectors since the 1990s. The CEP development
process aimed to push forward the energy transition that started with the publication of
draft legislative texts by the European Commission in November 2016. In June 2019, the
adoption process was completed following the publication of the final legislative texts in
the Official Journal of the European Union. The CEP consists of four directives and four
regulations, which are listed below.
The regulations are Regulation (EU) 2018/1999 or ‘Regulation on the Governance
of the Energy Union’, published on 21 December 2018; Regulation (EU) 2019/941 or
‘Regulation on Risk-Preparedness’, published on 14 June 2019; Regulation (EU) 2019/942
or the ‘(Recast of the) ACER Regulation’, published on 14 June 2019; and Regulation (EU)
2019/943 or the ‘(Recast of the) Electricity Regulation’, published on 14 June 2019.
The directives are Directive (EU) 2018/844 or the ‘Energy Performance in Buildings
Directive’, published on 19 June 2018; Directive (EU) 2018/2001 or the ‘Renewable
Energy Directive (RED II)’, published on 21 December 2018; Directive (EU) 2018/2002
or the ‘Energy Efficiency Directive’, published on 21 December 2018; and Directive (EU)
2019/944 or the ‘(Recast of the) Electricity Directive’, published on 14 June 2019.
Regulation (EU) 2019/943 and Directive (EU) 2019/944 are the ones of most importance
in the developments described in this book. The date of application of Regulation (EU)
2019/943 is 1 January 2020. Member States have 18 months to transpose Directive (EU)
2019/944 into national law. The European Commission will review the implementation
of Directive (EU) 2019/944 and Regulation (EU) 2019/943 by 31 December 2025 and
31 December 2030 respectively. The Commission will submit a report to the European
Parliament and the Council, accompanied by legislative proposals where appropriate.
Note that a major part of the early legislation focused on setting the conditions and creating the
institutions necessary for electricity markets to function, but not on the actual market design
or detailed market rules. In what follows, we illustrate this for transmission system operators
(TSOs) and national regulatory authorities (NRAs).
As is illustrated in Figure 1.2, TSOs have been gradually made more independent from gen-
eration, which is referred to as the unbundling process. The First Package only required man-
agement and accounting unbundling. The Second Package took unbundling a step further in
requiring transmission and distribution companies to apply legal unbundling from 1 July 2004
and 1 July 2007 respectively. The Third Package finally provided that as of 3 March 2012
TSOs had to be certified by the competent NRA under one of the three unbundling models:
full Ownership Unbundling; Independent System Operator; and Independent Transmission
Operator. Ownership unbundling emerged as the dominant model in Europe.3 The Third
Package also required all the TSOs to create the European Network of Transmission System
Operators for Electricity (ENTSO-E) and to cooperate through this new institution at the
European level. Figure 1.2 lists some of the TSOs’ and ENTSO-E’s tasks, which have clearly
been increasing with each legislative package that has been adopted. We do not discuss them
here, as they will be covered in the various chapters of this book. The Clean Energy Package
also requires the establishment of an entity of distribution system operators in the Union (EU
6
Evolution of electricity markets in Europe
Figure 1.2 The development of TSOs at the national and European levels and a selection of their tasks
Why did we start with electricity markets in Europe? 7
Figure 1.3 The development of regulatory authorities at the national and European
levels and a selection of their tasks
DSO entity) to increase efficiencies in the electricity distribution networks and to ensure close
cooperation with TSOs and ENTSO-E.4
As is illustrated in Figure 1.3, NRAs have gradually been made more independent of the
industry and national governments. Initially, some countries like Germany did not see the need
for an energy regulator but relied on combinations of self-regulation and competition author-
ities. The Second Package eventually put an end to such arrangements by requiring Member
States to create national regulatory bodies that are independent of the electricity industry. The
Third Package increased the independence of NRAs from national governments and also man-
dated the establishment of the Agency for the Cooperation of Energy Regulators (ACER).5
Figure 1.3 lists some of the NRAs’ and ACER’s tasks, which have clearly been increasing with
each legislative package that has been adopted. We do not discuss them here, as they will be
covered in the various chapters of this book.
Third are the more detailed market rules that have been developed through the process
of creating EU network codes and guidelines. The first generation of network codes and
guidelines were adopted after a lengthy co-creation process involving the European institu-
tions, ENTSO-E, ACER and many stakeholders from across the electricity sector. This first
generation consisted of eight legislative acts that entered into force between 2015 and the end
of 2017. As we will refer to these network codes and guidelines throughout the book, Box 1.3
provides an introduction to the eight network codes and guidelines, their scope, and the related
development, implementation and amendment processes.
8 Evolution of electricity markets in Europe
The network codes and guidelines of the first generation can be subdivided into three
groups or ‘code families’ as listed below.
• Market codes: the capacity allocation and congestion management guideline (CACM
GL), published on 25 July 2015; the forward capacity allocation guideline (FCA GL),
published on 27 September 2016; the electricity balancing guideline (EB GL), pub-
lished on 23 November 2017.
• Connection network codes (CNCs): the network code on requirements for grid connec-
tion of generators (RfG NC), published on 14 April 2016; the network code on demand
connection (DC NC), published on 18 August 2016; the network code on requirements
for grid connection of high voltage direct current systems and direct current-connected
power park modules (HVDC NC), published on 8 September 2016.
• Operation codes: the electricity transmission system operation guideline (SO GL), pub-
lished on 25 August 2017; the electricity emergency and restoration network code (ER
NC), published on 24 November 2017.
These are commonly referred to as ‘the network codes’, but not all of them are legally de-
fined as network codes. Four of the eight are guidelines (CACM GL, FCA GL, EB GL and
SO GL) and the other four are network codes (ER NC, RfG NC, DC NC and HVDC NC).
Initially, all eight were planned to be developed as network codes, yet some became guide-
lines in the development process. In theory, network codes and guidelines can cover the
same topics. In practice, however, it is observed that some topics lend themselves better to
guidelines than to network codes and others vice versa.
Both similarities and differences between network codes and guidelines exist. Network
codes and guidelines are similar in that they carry the same legal weight (both are
Commission regulations and are legally binding), are directly applicable (they do not need
to be transposed into national law) and are subject to the same formal adoption procedure
(‘old’ comitology procedure). Network codes and guidelines differ from each other regard-
ing their legal basis, the stakeholder involvement, their amendment process, topics and
scope, and the adoption of further rules during the implementation phase. Indeed, the main
difference is the work to be done during the implementation phase, which we explain in the
following.
In general, network codes are more detailed than guidelines. Guidelines shift a larger
share of the further development to the implementation phase, which can allow for more
flexibility but can also slow down or complicate the overall process. Guidelines include
processes whereby TSOs or Nominated Electricity Market Operators (NEMOs, see also
Chapter 2) must develop so-called ‘Terms and Conditions or Methodologies (TCM)’. TCMs
are comprehensive (legal) texts that are often referred to as ‘methodologies’. In most cases,
methodologies have to be jointly developed by all TSOs or all NEMOs at the pan-European
level or by the relevant TSOs/NEMOs at the regional or national levels. Depending on the
scope of the methodologies, the Third Package foresaw their approval either by all NRAs
(pan-European methodologies) or by the relevant subset of NRAs (regional and national
Why did we start with electricity markets in Europe? 9
Note: Our colleagues Hancher et al. (2020) published a research report which provides more details on the legal
technicalities of the EU electricity network codes and guidelines.
For the first generation of network codes and guidelines, TSOs were placed in the position of
drafting network codes through ENTSO-E with regulatory oversight. You may wonder why
regulators have not been put in the position to develop these market rules. The typical answer
given to this question in the European context is that the level of detail and technical com-
plexity was such that the industry was asked to develop solutions that were then challenged
by the regulators rather than vice versa. However, the perception has been that TSOs have not
always developed solutions fast enough and that stakeholder involvement in the process has
been insufficient. Following the Clean Energy Package, significant changes including shifts in
roles and responsibilities have been introduced for both existing and future generations of EU
network codes and guidelines, as is shown in Box 1.4.
In 2019, the adoption of the Clean Energy Package brought significant changes for both
existing and future generations of EU network codes and guidelines. First, the development
process saw a shift in roles and responsibilities. The strong role of ENTSO-E in drafting the
network codes was reduced. The CEP also mandates the establishment of an EU DSO entity
to involve distribution system operators (DSOs) in the network code and guideline draft-
ing process. The role of ACER in the development phase is expected to increase. Another
change concerns the time interval in which the European Commission is required to com-
pile a priority list for new network codes.
Second, changes were introduced to the adoption process for both the TCM and new net-
work codes and guidelines. Regarding TCMs, ACER now directly decides on the method-
ologies with a pan-European scale (former ‘all NRA’ decisions). Regarding network codes
and guidelines, the Clean Energy Package distinguishes between the adoption of network
codes and guidelines as implementing or delegated acts. Depending on the type of act, the
European institutions and stakeholders have different rights and possibilities to intervene
in the adoption process.
In other words, the story of EU network codes and guidelines as a way to push forward
the market integration process in Europe continues. The scope of areas in which detailed
market rules can be developed has increased and the process has been fine-tuned. How it
will work in detail remains to be seen and can be reported in a future edition of this book.
10 Evolution of electricity markets in Europe
Note that we now have thousands of pages filled with detailed market rules, but they do not
prescribe a standard market design that everybody needs to follow. In fact, the new rules
simply reduce the degree of freedom that countries have in designing their markets. This is
why it is difficult to read the European market rules. They do not explicitly explain the design;
the resulting design is implicit. In this book, we will make it explicit.
In this section we will see that there are technical advantages of scale.6 For example, a larger
power system is more stable as it has a higher level of inertia, which makes it easier for system
operators to keep the lights on. Another technical advantage of integration in this context was
the development of a solidarity mechanism between European countries that pre-dated the
creation of markets. To better understand these technical issues, we will use a tandem bicycle
analogy that is often used to explain power systems to non-engineers. Note that we are not
exhaustive in our description and only refer to certain elements of this analogy.7
Imagine a tandem bicycle moving at a constant speed as illustrated in Figure 1.4. The task
of the dark grey cyclists (power stations) is to generate the electrical energy that keeps the
entire system going. The light grey figures (loads) are not generating any of this energy, but the
aim of the overall system is to keep them moving nevertheless. The chain connecting all the
elements in the system represents the electrical transmission network. To maintain the same
velocity the chain must turn the wheels at a constant rate. In addition, constant physical tension
is required in the upper part of the chain. These two features can be respectively translated into
a need for a fixed constant frequency to guarantee a well-functioning system and a need for
a fixed voltage level for grid connections in an electricity network.
To transmit the pedalling movement (energy) to the chain, different connections between
the cyclists and the chain exist. A first type of dark grey cyclist (large thermal and nuclear
power stations connected to the grid with transformers) have their pedals directly connected to
the chain with one gear, which means they have to constantly pedal at the right speed and with
the right amount of power. A second type of dark grey cyclist (e.g. hydropower stations with
Figure 1.4 A basic representation of the power system using a tandem bicycle
Why did we start with electricity markets in Europe? 11
their turbines connected to generators) may prefer to cycle more slowly and have their force
transformed to the right speed with a gear system. A third type (e.g. wind turbines connected
with a frequency inverter) is connected through a belt and a gear system, allowing them to
pedal at varying speed. There are also different types of loads, but we will not explain them
in detail here.
The complex task of power system management requires both the speed (frequency) and the
tension of the chain (voltage level) to remain steady, even in the event of unexpected imbal-
ances between load and generation. One of the technical advantages of scale is that the more
synchronously connected rotating machines a power system has (dark grey cyclists types one
and two), the more stable it is as it has a higher level of inertia. Inertia represents the ability
of synchronously connected rotating machines to store and inject their kinetic energy into
the system. Inertia slows down a frequency drop/spike immediately after a sudden mismatch
between supply and demand (e.g. a power station outage or an unexpected change in the load
connected to the network). If the system inertia is low, a small sudden difference between
load and generation causes a high-frequency deviation. It is important to note that inertia
only supports frequency in nearly instantaneous situations where an imbalance is caused by
a sudden disconnection of large units or a nearly instantaneous change in production or load.
Inertia does not support frequency under ‘normal’ imbalance conditions when the imbalance
is caused by a prognosis error and resulting differences between production and consumption
plans. System inertia is typically higher for larger synchronous power systems as the kinetic
energy available and therefore the system’s inertia increases with the number of generators
and motors that are coupled to the grid.
However, system inertia can only slow down frequency deviations; it is not able to restore
the power balance between generation and load. Therefore, some of the dark grey cyclists
(power stations) do not pedal at full power. Instead, they conserve some of their energy to
be able to provide extra or replacement force (reserves) when it is needed. TSOs, which are
responsible for safeguarding system security within their control areas, must ensure that there
are enough reserves to regulate frequency and respond to possible emergency situations. In
a stand-alone system, such reserves must typically be large enough to cope with the most
severe incident, which usually corresponds to a loss of the largest generator in one TSO’s
control area. A clear advantage of interconnecting control zones to form a large synchronous
area is that reserves can be pooled and the relative importance of the most severe incident
decreases as system size increases. Such solidarity schemes for reserve sharing in which
each TSO can draw on the reserves in other TSOs’ control zones whenever needed were
implemented in synchronous areas long before markets were introduced. We will come back
to the balancing mechanism that is in place today in Chapter 5. We will also come back to the
technical requirements that different types of assets that are connected to the power system
need to comply with in Chapter 6.
The initial focus of cross-border cooperation was on system stability as mentioned in the pre-
vious section and sharing of reserves as we will explain in the following. Sharing of reserves
aimed at a more effective use of energy resources and optimal operation of electric power
12 Evolution of electricity markets in Europe
the EU internal energy market) and what longer-term consequences such a loss of a relatively
small piece of the European electricity markets and the halting of interconnector expansion
between Great Britain and neighbouring EU Member States would have. Academics have
found that the 2030 cost to Britain of a hard electricity Brexit with little interconnector expan-
sion and decoupled markets would amount to several hundreds of million euros a year.9
1.4 CONCLUSION
In this first chapter on why we started with electricity markets, we have answered three ques-
tions. First, what was the political process that led to electricity markets in Europe? The aim
of creating a European internal energy market had been on the agenda of the European institu-
tions since the 1980s. Over the period 1996 to 2019, four EU legislative energy packages were
adopted that aimed to integrate and harmonize national electricity markets and mandated the
creation of ENTSO-E and ACER to drive the process. EU network codes and guidelines were
created that set out more detailed market rules. The Clean Energy Package introduced signif-
icant changes to the processes of developing, adopting, amending and implementing existing
and future generations of network codes and guidelines.
Second, what were the technical drivers for creating a European power system? A clear
advantage of larger power systems is their greater stability as they typically have larger
numbers of synchronously connected rotating machines which increases the level of system
inertia. Another technical advantage of scale is that the relative importance of the most severe
incident decreases as system size increases and reserves to cope with such incidents can be
pooled across TSO control zones. Such technical cooperation and reserve sharing among
TSOs for mutual support through interconnections in case of emergencies pre-dated markets.
Third, what do we know about the benefits of integrating electricity markets in Europe? The
qualitative benefits of exchanging electricity across borders to take advantage of the differ-
ences in generation mixes, weather conditions and load patterns have long been acknowledged
by European countries. A more recent motivation has been to make better use of renewable
resources due to uneven wind and solar conditions across Member States. The economics of
market integration became clearer when information became available to assess the benefits.
In 2013, an initial study found that the benefit of implementing an integrated EU electricity
market was several billions of euros a year, an order of magnitude that was later confirmed by
ACER. More recently, the potential cost to Great Britain of leaving the internal energy market
as a part of the political Brexit has been estimated to be in the order of several hundred million
euros a year by 2030.
NOTES
1. It can be confusing to keep up with the varying terminology used for the European Single Market
project, that is, common, internal and single market. The original treaties used the term ‘common
market’ without providing a definition. Legal literature suggests that the concept of the common
market went beyond the four freedoms and also included various policy areas such as agriculture,
competition and state aid. Later, the term ‘common market’ was replaced with ‘internal market’ in
the treaties, referring to an area without internal frontiers in which the free movements of goods,
persons, services and capital are ensured. While the objectives remained the same, the procedures
to adopt related legislation changed from unanimity (common market) to qualified majority voting
14 Evolution of electricity markets in Europe
(internal market). The term ‘single market’ can be considered an informal synonym of ‘internal
market’. Note that in some languages, only one word exists (e.g. ‘Binnenmarkt’ in German).
2. Hancher (2002) discusses the successes and failures of the First Electricity Directive of 1996 in
introducing a competitive environment in national electricity sectors. Vasconcelos (2005), the
founder of the Council for European Energy Regulators (CEER) in 2000, explains that the First
Energy Directive provided little guidance as regards cross-border energy trade, the development
of regional markets, interaction with non-EU markets, the development of interconnectors, the
supra-national integration of energy markets and so on. Hence, a ‘regulatory gap’ between national
markets and the EU internal energy market emerged. He elaborates on how Regulation (EC) No
1228/2003, which we will discuss in Chapter 2, represented the Commission’s attempt to close the
‘regulatory gap’, which was shown to be not possible on a voluntary basis.
3. CEER (2016) provides an overview and explanation of the different unbundling models applied
across European Member States. TSOs also continue to change, as is seen in the example of the
Greek TSO. ADMIE moved from the Independent Transmission Operator model to the Ownership
Unbundling model as a consequence of changes in the ownership and share structure (CEER 2019).
4. We do not cover the EU DSO entity in this book as there are still many open issues at the time of
writing. In the future, the EU DSO entity is expected to play a significant role for example as regards
the preparation and implementation of new network codes, where relevant for distribution networks.
We might therefore include its tasks and responsibilities in a future edition of this book.
5. Glachant et al. (2008) analyse the institutional mechanisms of the German self-regulation arrange-
ment that lasted from 1998 to 2005. Pototschnig (2019) provides a comprehensive overview of
developments from the creation of ACER to its future as foreseen in the Clean Energy Package.
Jones (2016) provides a full overview of the Third Energy Package, including the topics discussed
here of common electricity wholesale markets, the unbundling of TSOs, NRAs and the coming into
existence of ACER, and the regulation of cross-border electricity exchanges.
6. Many of the technical, economic and regulatory fundamentals we touch on in this book are dis-
cussed in depth in Pérez-Arriaga (2013), which is a must-read for anybody entering the sector or
wanting to refresh their knowledge of some of the basic concepts the electricity sector deals with on
a daily basis.
7. We do not know who came up with this analogy, but were inspired by Söder (2002) and Fassbinder
and De Wachter (2005). Many thanks to our colleague Daniela Bernardo, who produced the
drawing in Figure 1.4, which is an enhanced version of a drawing in Söder (2002).
8. DG TREN (2001) was the first of four benchmarking reports published by the Commission of the
European Communities. Booz & Company (2013) is the consultancy study. ACER and CEER
(2019) is the annual market monitoring report. Newbery et al. (2016) provide an academic discus-
sion of the methodology that is used in these reports.
9. This paragraph is based on the work of Geske et al. (2020), who calculate the estimated 2030 cost
of Great Britain leaving the EU internal market for electricity based on a microeconomic model of
decoupled markets between Great Britain and France. Newbery (2020) discusses their results in
a brief review for Nature Energy.
REFERENCES
ACER and CEER (2019), ‘Annual Report on the Results of Monitoring the Internal Electricity and
Natural Gas Markets in 2018 – Electricity Wholesale Markets Volume’.
Booz & Company (2013), ‘Benefits of an Integrated European Energy Market’, Final Report prepared
for Directorate-General Energy European Commission.
CEER (2016), ‘Status Review on the Implementation of Transmission System Operators’ Unbundling
Provisions of the 3rd Energy Package’, CEER Status Review Ref: C15-LTF-43-04.
CEER (2019), ‘Implementation of TSO and DSO Unbundling Provisions – Update and Clean Energy
Package Outlook’, CEER Status Review Ref: C18-LAC-02-08.
Council (1986), ‘Council Resolution of 16 September 1986 Concerning New Community Energy Policy
Objectives for 1995 and Convergence of the Policies of the Member States (86/C 241/01)’.
Why did we start with electricity markets in Europe? 15
DG TREN (2001), ‘First benchmarking report on the implementation of the internal electricity and gas
market. SEC (2001) 1957’, Commission Staff Working Paper.
EC (1988), ‘The internal energy market’, Commission Working Document COM(88) 238 Final.
Fassbinder, S. and B. De Wachter (2005), ‘The electrical system as a tandem bicycle’, accessed at www
.gonder.org.tr/wp-content/uploads/2015/04/ElectricityTandem.pdf%0A%0A.
Geske, J., R. Green and I. Staffell (2020), ‘Elecxit: The cost of bilaterally uncoupling British–EU elec-
tricity trade’, Energy Economics, 85, 104599.
Glachant, J.-M., U. Dubois and Y. Perez (2008), ‘Deregulating with no regulator: Is the German electric-
ity transmission regime institutionally correct?’, Energy Policy, 36 (5), 1600–10.
Hancher, L. (2002), ‘Slow and not so sure: Europe’s long march to electricity market liberalization’,
Electricity Journal, 10 (9), 92–101.
Hancher, L., A.-M. Kehoe and J.Rumpf (2020), ‘The EU Electricity Network Codes and Guidelines:
A Legal Perspective’, Research Report, European University Institute.
Jones, C. (ed.) (2016), EU Energy Law Volume I: The Internal Energy Market, 4th ed., Deventer,
Netherlands and Leuven, Belgium: Claeys & Casteels.
Newbery, D. M. (2020), ‘The cost of uncoupling’, Nature Energy, 5 (3), 187–8.
Newbery, D., G. Strbac and I. Viehoff (2016), ‘The benefits of integrating European electricity markets’,
Energy Policy, 94, 253–63.
Pérez-Arriaga, I. J. (ed.) (2013), Regulation of the Power Sector, Springer-Verlag London.
Pototschnig, A. (2019), ‘The ACER experience’, in S. Nies (ed.), The European Energy Transition: Actors,
Factors, Sectors, Deventer, Netherlands and Leuven, Belgium: Claeys & Casteels, pp. 175–211.
Söder, L. (2002), ‘Explaining power system operation to non-engineers’, IEEE Power Engineering
Review, 22 (4), 25–7.
Vasconcelos, J. (2005), ‘Towards the internal energy market, how to bridge a regulatory gap and build
a regulatory framework’, European Review of Energy Markets, 1 (1).
16 Evolution of electricity markets in Europe
The aim to create a common market to eliminate trade barriers Art. 2 of the Treaty of Rome states that ‘The Community
between Member States dates back to the founding Treaty of shall have as its task, by establishing a common market and
Rome in 1957. progressively approximating the economic policies of Member
States, to promote throughout the Community a harmonious
development of economic activities, a continuous and balanced
expansion, an increase in stability, an accelerated raising of
the standard of living and closer relations between the States
belonging to it.’
The Treaty includes, among many other things, provisions on
the free movement of goods (Title I) and the free movement of
persons, services and capital (Title III).
The Single European Act of 1986 required the adoption of Art. 13 of the Single European Act states that ‘… the
measures with the aim of establishing an internal market by 31 Community shall adopt measures with the aim of progressively
December 1992. establishing the internal market over a period expiring on 31
December 1992 … The internal market shall comprise an area
without internal frontiers in which the free movement of goods,
persons, services and capital is ensured …’
The Council (1986) adopted energy objectives for the European In the Council Resolution of 16 September 1986, the Council
Community. of the European Communities ‘… 5. considers that the energy
policy of the Community and of the Member States must
endeavour to achieve the following horizontal objectives: … (d)
greater integration, free from barriers to trade, of the internal
energy market with a view to improving security of supply,
reducing costs and improving economic competitiveness.’
In 1988, the Commission of the European Communities The Commission Working Document COM(88) 238 final on
published the first document on the internal energy market, the internal energy market of 2 May 1988 states in its Part Two
which assessed that there were still considerable barriers to on the suggested priorities regarding the obstacles related to
trade in energy products within the Community. the establishment of a single energy market that the ‘barriers
are very diverse in type and significance … Most of them are
the end-product of domestic rules and regulations originating
in an often distant past predating European ideas: this applies
for example to all the potential obstacles arising from purely
domestic monopolies. …’
Directive 96/92/EC kicked off the liberalization process by As illustrations, recital 22 of Directive 96/92/EC states that ‘it
introducing a distinction between the regulated part of the is … necessary to establish common rules for the production
sector and competitive parts. of electricity and the operation of electricity transmission and
distribution systems’; and recital 30 states that ‘in order to
ensure transparency and non-discrimination, the transmission
function of vertically integrated undertakings should be
operated independently from the other activities.’
Why did we start with electricity markets in Europe? 17
In this chapter we answer five questions. First, how to deal with historical privileges? Second,
how to implement market-based allocation of transmission rights? Third, how to implement
market coupling in the day-ahead timeframe? Fourth, what about the timeframes before
day-ahead? Fifth, what about the timeframes after day-ahead?
Historically, the rights to trade across borders were granted to utilities, often state-owned
vertically integrated utilities. The First Directive 96/92/EC already stated that the newly
established transmission system operators (TSOs) had to provide different network users with
non-discriminatory access to their networks. Despite this provision, the historical privileges
of the utilities were maintained. They had long-term contracts with neighbouring utilities that
included transmission rights. These contracts, which pre-dated the market integration process,
had not yet expired and were kept in place.
This led to a landmark court case. In that case, VEMW, the organization representing the
interests of large energy consumers in the Netherlands, the Amsterdam Power Exchange
(APX) and ENECO, a large Dutch utility, challenged the decision of DTE, the Dutch regu-
lator, to reserve a significant proportion of the rights to trade across the border for SEP, the
former national vertically integrated utility. SEP used these so-called transmission rights to
execute its existing long-term contracts with utilities across the border. In 2000, 1500 MW of
the available 3200 MW of the rights were reserved for SEP contracts, which would reduce to
900 MW in 2001 and to 750 MW from 2005 to 2009. The European Court of Justice (ECJ)
decided that this undermined potential access to the market by new players and protected the
position of the incumbent. The Dutch regulator’s decision was found to be incompatible with
the First Directive and so annulled. Although the First Directive allowed Member States to
request a transitional exemption from the relevant article in the legislation, this had not been
done by the Netherlands. Other national regulatory authorities (NRAs) used the ECJ decision
to take steps to remove transmission right privileges.1
The next challenge was to allocate the freed-up transmission rights in a non-discriminatory
way. Figure 2.1 gives an overview of the transmission right allocation methods applied in the
EU in 2004. Priority lists were said to give priority to whoever made it onto the list, often
incumbent utilities and large industrial consumers. Pro-rata rationing implied that whoever
asked for more got more. Explicit auctions and market splitting were the first market-based
approaches to allocate transmission rights. They will be discussed in more detail in the next
25
26 Evolution of electricity markets in Europe
Note: The acronyms used stand for the following. MO: Morocco (non-EU); P: Portugal; E: Spain; I: Italy; F:
France; CH: Switzerland (non-EU); A: Austria; SL: Slovenia; G: Greece; H: Hungary; SK: Slovakia; CZ: Czech
Republic; Pl: Poland; D: Germany; L: Luxembourg; R: Russia (non-EU); DK (E): East Denmark; DK (W): West
Denmark; FI: Finland; S: Sweden; N: Norway (non-EU); B: Belgium; NL: Netherlands; UK: United Kingdom; IR:
Ireland.
Source: Based on European Transmission System Operators (ETSO) (2004).
sections. Finally, please note that on several borders there is not a unique capacity allocation
method or congestion management mechanism jointly applied by the two TSOs involved.
Regulation (EC) No 1228/2003 was included in the Second Package and required a market-based
approach to the allocation of transmission rights. In what follows we describe the evolution
from explicit auctions to implicit auctions – or market coupling – in Europe.
First, explicit auctions. Under this approach, TSOs auction transmission rights to the highest
bidders separately from the trading of energy. Several auctions are held, from the year-ahead
to the day-ahead timeframe. A few years after the adoption of Regulation (EC) No 1228/2003,
explicit auctions became the dominant model for allocating transmission rights in Europe. Due
to the separation of the auctions of transmission rights and energy trading, coordination issues
arose. More precisely, to be able to bid for transmission rights, traders had to predict hourly
price differences in different countries, which turned out to be very difficult. The 2007 Sector
Inquiry estimated that the lost opportunities to trade across the German–Dutch border in 2004
were as high as €50 million, or half the total value.2 Figure 2.2 shows the details. Each dot
Who gets the rights to trade across borders? 27
Figure 2.2 Explicit cross-zonal allocation: hourly price difference between Germany
and the Netherlands (x-axis) versus the hourly sum of nominated net flows
from Germany to the Netherlands in 2004 (y-axis)
represents the situation in the market at a certain hour. Two main problems can be observed.
First, quadrant 2 and quadrant 4 show hours in which traders moved energy across the border
earning the price spread, but they often did not capture all the opportunities. There are many
hours in which not all the transmission rights were used although there was still a positive
price spread. Second, quadrants 1 and 3 show hours in which traders paid for transmission
rights and then moved energy across the border in the wrong direction, losing money. In
this example, for about 40 per cent of the hours the electricity price in Germany was higher
than in the Netherlands but the electricity was flowing towards the Netherlands (quadrant 1).
The opposite also happened, with electricity flowing towards Germany when the price in the
Netherlands was higher (quadrant 3).
Second, there was an evolution towards implicit auctions, or market coupling. The solution
that emerged was to give the transmission rights to power exchanges. Instead of allocating
them in a separate auction to cross-border traders, they were integrated into the clearing of the
day-ahead auction organized by power exchanges. The name that was initially given to this
solution was ‘implicit auctions’, but it then changed to ‘market coupling’ because the solution
implied that the power exchange day-auctions became coupled, as we will discuss further in
the next section.
28 Evolution of electricity markets in Europe
This section is divided in two subsections. We first describe the evolution from regional ini-
tiatives to so-called single day-ahead coupling (SDAC). We then discuss the issues that this
solution left open. Power exchanges are key actors with regard to market coupling; a descrip-
tion of the evolution of power exchanges in Europe can be found in Annex 2A.1.3
In this subsection, we first discuss three regional initiatives that led to SDAC: market splitting,
trilateral market coupling and volume coupling. As Table 2.1 summarizes, we discuss the
number of power exchanges that were involved in the initiative, whether they share their order
books and by whom the optimization algorithm is run. We conclude with a description of the
current status of SDAC implementation.
First, market splitting. Nord Pool’s approach was called market splitting because the
algorithm worked in two steps. In the first step, the Nordic system price was calculated. The
system price is the price that would apply in the whole region if the resulting cross-border
flows were feasible. If there were not enough cross-border transmission capacity available to
accommodate all trades, the second step was to split the Nordic market into smaller markets
with different prices, hence ‘market splitting’. It all started with Nordic market splitting. In
this approach, there was one power exchange – Nord Pool – with one order book and one
optimization algorithm to calculate prices for the whole Nordic region.
Second, trilateral market coupling. The starting point for this project was three power
exchanges (APX, Belpex and Powernext) and three TSOs (TenneT, Elia and RTE) which
wanted to implement market coupling without consolidating the exchanges into one exchange.
Instead of sharing all the information in their order books, they wanted to run an optimization
algorithm based on net export curves, which was a way to aggregate their order book infor-
mation. The algorithm would then decide the trade volumes and directions across the borders,
and once these were fixed the exchanges would continue to calculate their own set of prices for
their order books. It was a very elegant idea, and we did research to help develop the concept,
but our research also showed that the approach had its limitations.4 We were therefore not
surprised that after a piloting phase with detailed simulations the project partners decided to
abandon the approach and went for a slightly more centralized version of market coupling.
This was approved by the regulators and went live in 2006. The exchanges did not consolidate
into one exchange, but they did agree to share their full order books and to let one optimization
algorithm calculate the prices. The compromise was that they would take turns to run the algo-
rithm or they would run it in parallel to build some resilience into the procedure.
Third, volume coupling. Two years after the approach based on net export curves in the
trilateral market project was abandoned, it resurfaced in an initiative between Nord Pool (East
Denmark) and EEX (Germany). Their approach was called volume coupling, as opposed to
price coupling. It was short-lived because the problems that had been anticipated in trilateral
market coupling and were analysed in our research unfortunately were realized. After several
attempts to fix it, the project was stopped. For a full account of what happened, with an
analysis of the performance of volume coupling in each step of the way, see our research on
Who gets the rights to trade across borders? 29
Table 2.1 Different design choices for the implementation of market coupling
the topic.5 This short-lived experiment settled the competition between different market cou-
pling implementations in favour of trilateral market coupling, which developed into SDAC.
A simple numerical example showing how prices are set and cross-border capacity is allocated
between two market-coupled countries can be found in Annex 2A.2.
Fourth, the status of SDAC. The Capacity Allocation and Congestion Management
Guideline (CACM GL), which was adopted in 2015, made day-ahead market coupling
binding for all. Trilateral market coupling has been growing, and at the time of writing 22
countries representing close to 90 per cent of European electricity consumption are already
coupled. More are expected to join in 2020: Greece, the Czech Republic, Slovakia, Hungary
and Romania.6 The optimization algorithm that is used is called the Pan-European Hybrid
Electricity Market Integration Algorithm (EUPHEMIA), and it originated in the trilateral
market coupling project. The operation of the algorithm is called the market coupling operator
(MCO) function in the CACM GL. The MCO function is jointly operated by all the participat-
ing power exchanges. To be able to participate, exchanges have to be certified as Nominated
Electricity Market Operators (NEMOs).
In this subsection, we discuss three open issues: the governance of NEMOs and the MCO
function, cost sharing and the functioning of the optimization algorithm EUPHEMIA.
The first open issue is governance. The default option described in the CACM GL is to have
competing power exchanges in each Member State. However, if a national legal monopoly for
day-ahead and intraday trading services existed in a Member State at the time of entry into
force of the CACM GL, the Member State could decide to continue with a monopolistic power
exchange. At the time of writing, Greece, Ireland, Italy, Spain, Portugal, Hungary, Bulgaria,
Slovakia, the Czech Republic and Romania have designated one monopolistic NEMO and all
the other Member States allow multiple NEMOs to compete in their markets. Competitive
NEMOs designated in one Member State also have the right to offer trading services with
delivery in another Member State where a competitive model is implemented, unless an excep-
tion is justified. Recently, multi-NEMO arrangements (MNAs) have been set up, enabling
market coupling with more than one power exchange per country.
30 Evolution of electricity markets in Europe
From the operational perspective, currently eight NEMOs are running the MCO function on
a rotational basis. Each day one NEMO runs the system (acting as the ‘operator’), one acts as
the formal ‘coordinator’ (e.g. announcing official results and calling the incident committee
when issues arise) and another acts as ‘hot backup’. The remaining NEMOs have the right
to compute the same results in parallel. This has put power exchanges in a position in which
they must collaborate while they are also competing. The governance of NEMOs and the
MCO function was on the agenda of the Florence Forum in 2018. The European Network of
Transmission System Operators for Electricity (ENTSO-E) called for a stronger separation of
the MCO function and the competitive business activities of NEMOs, preferably with more
TSO involvement in the control of the MCO function. The Agency for the Cooperation of
Energy Regulators (ACER) acknowledged the issues and hinted at the possibility of having
a single independent MCO entity. The solution suggested by ACER was included in the
CACM GL as a possible option if the current option does not work well. Finally, in a report
published just after the Florence Forum, the Commission decided that it was too early for
action.7
The governance issue has a history. During the development of the CACM GL, the question
arose of whether power exchanges need to be regulated as monopolies now that they have
a monopoly on cross-border trade in the day-ahead timeframe. Our research concluded that the
competitive model for market infrastructure has its merits. Some of the activities of a power
exchange, such as the provision of the interface between traders and the market and all sorts
of settlement arrangements, are not necessarily monopolistic activities. Competing means they
can differentiate and innovate in their services and also in their membership fees and trade
commissions. We also wrote that it is necessary to avoid market coupling becoming a cartel
of power exchanges, which did not make us very popular at the time. In 2014, the European
Commission imposed fines of about €6 million on the two leading European power exchanges,
EPEX SPOT and Nord Pool. They had agreed not to compete in the spot market (day-ahead
and intraday) and to divide the European territory between them. In other words, the govern-
ance of NEMOs and the MCO function is an important issue to continue to monitor.8
The second open issue is cost sharing. The costs of operating and developing the MCO
function are shared by the NEMOs. The CACM GL states that TSOs may contribute to the
MCO-function-related costs of the NEMOs concerned but they are not obliged to. In the case
that a TSO does not contribute to the costs or does not cover all the costs, the NEMOs are enti-
tled to recover residual MCO-function costs by means of regulated fees or other appropriate
mechanisms unless the costs are unreasonable. In short, the sharing keys between NEMOs and
TSOs for MCO-function-related costs are national, while NEMOs can cover multiple Member
States. As not necessarily the same NEMOs are competing in each Member State, due to the
non-harmonized national sharing keys some NEMOs might need to top up their fees more than
others because of the costs of MCO-related activities.
The third open issue is the algorithm. Technical issues came high on the agenda after the
first major incident on 7 June 2019. Due to a software bug at EPEX SPOT – the biggest
power exchange in central Europe, operating in countries such as Austria, Belgium, France,
Germany and the Netherlands – its order books were not included in the market coupling algo-
rithm EUPHEMIA. This meant that trade could not be scheduled across the borders of these
countries. The fall-back solution was to organize local markets without cross-border trade. As
a result, prices were unusually low in some countries and extremely high in others.9
Who gets the rights to trade across borders? 31
At the time of writing, EUPHEMIA only has ten minutes to perform its market coupling
calculations. Even though the incident on 7 June 2019 was said to have been caused by a soft-
ware bug at EPEX SPOT, there are also technical issues with the algorithm itself. These issues
are attracting more attention because the single-market-coupling approach in Europe relies on
this one algorithm. As more countries have been added to the market coupling initiative, insuf-
ficient efforts have been made to reduce the complexity of the market that has to be handled
by the algorithm. The CACM GL required NEMOs to submit a joint proposal for the bidding
formats they will continue to use. In their proposal, which was accepted, they simply listed
all the bidding formats that are currently used. These are a mix of multi-part orders with bids
that correspond to the technical constraints of thermal power plants, including start-up costs
and ramping constraints, and block orders, which allow traders to make their bids indivisible
and to link them across periods. Multi-part orders are typical of power-pool type markets,
while block orders are typical of power exchanges. EUPHEMIA currently has to deal with
both complexities. In power-pool markets, complex bidding formats are typically combined
with complex pricing, which means that side payments are used to balance supply and demand
in the market on top of the clearing price. This implies that some market players get an addi-
tional side payment to avoid losing money, while the others pay or receive the clearing price
corrected with an uplift to recover the money paid in side payments. Power exchanges do not
do side payments; they instead allow their markets to reject block bids that are in-the-money
at the prevailing clearing price (so-called paradoxically rejected blocks). Side payments would
require a change in the CACM GL, but they would simplify the algorithm. Our research and
that of colleagues has indeed demonstrated that complex pricing can reduce the complexity of
the algorithm, but we have come to different conclusions on whether it should be done or not.
Our colleagues argued in favour of complex pricing while we argued that the gains in terms
of trade would be relatively small in comparison to the side payments that would need to be
administered.10
Stakeholders are under pressure to come up with solutions because the complexity is only
expected to increase. More countries will be added to SDAC, and the Clean Energy Package
includes provisions that will increase the granularity of day-ahead markets from hourly to
half-hourly or even 15 minutes.
Note finally that more progress has been made on another technical issue: the minimum and
maximum clearing prices that are used by the different power exchanges have been harmo-
nized. Following the CACM GL, all NEMOs were first asked to come up with a joint proposal
which the NRAs had to unanimously approve. The NRAs could not reach an agreement and
therefore requested ACER to adopt a decision. ACER decided that the harmonized maximum
price in the day-ahead market should be €3000/MWh and the minimum price −€500/MWh.
ACER avoided the maximum clearing price being able to act as a price cap by making it
dynamic. In the event that the clearing price exceeds a value of 60 per cent of the previously
set maximum clearing price, the maximum clearing price is increased by €1000/MWh.
The timeframes before day-ahead are referred to as forward and futures markets. These mainly
involve bilateral deals or over-the-counter (OTC) trading. Power exchanges also play a role,
but not by organizing auctions as they do in the day-ahead timeframe. Instead, they offer
32 Evolution of electricity markets in Europe
platforms that enable continuous trade in standardized future contracts, for example one-year
and three-year contracts. This means that there are no power exchange auctions that can be
coupled in the timeframes before day-ahead. Cross-border long-term transmission rights can
only be allocated in explicit auctions, the market-based solution that was abandoned in the
day-ahead timeframe. Indeed, TSOs organize explicit auctions for at least monthly and yearly
transmission right contracts. They have also started to collaborate via the Joint Allocation
Office (JAO). JAO is a joint service company of currently 20 TSOs from 17 countries with
harmonized auction rules and timings, which helps traders reduce their transaction costs in
procuring transmission rights. With the Forward Capacity Allocation Guideline (FCA GL),
which entered into force in 2016, this bottom-up voluntary initiative became the European
platform. Following the FCA GL, in 2017 all the NRAs approved a methodology that pro-
posed JAO becoming the single allocation platform for the whole of Europe. In what follows,
we discuss the two main open issues regarding long-term transmission rights: the length and
the types of contracts.
The first open issue is the length of contracts. To split the available transmission rights over
the different long-term timeframes and contract lengths, the FCA GL foresees the need to
develop methodologies at the regional level. At the time of writing, these methodologies are
being discussed and have not yet been approved. Traders have made it clear that they prefer to
have capacity offered year-ahead or more. Most TSOs propose a somewhat gradual offering
by dividing the capacity over the different timeframes. The incentives for TSOs depend on the
compensation they have to pay to market parties if they have to curtail long-term transmission
rights because they face problems in their networks, and on whether NRAs allow TSOs to
recover these payments through their grid tariffs. No compensation payments is not an option
because then market parties would have a hedge that they could not rely on because it can be
curtailed without any consequences for the TSO that issued the hedging product. This has been
an issue in the past and has been addressed in the FCA GL. In the FCA GL, two causes for the
curtailment of long-term transmission rights are distinguished. If what happens is considered
force majeure, the price of the right in the original auction is refunded. The determination of
whether an event classifies as force majeure is, however, still done at the national level. More
precisely, the national regulatory authority of the TSO invoking a force majeure event has to
assess whether the event qualifies as force majeure. If it is not force majeure, that is, the TSO
curtails long-term transmission rights to ensure that all flows remain within the operational
security limits, the compensation is the lost opportunity, which is the day-ahead price spread.
In this case, the TSOs concerned might propose introducing a cap on the total compensation,
which is further specified in the FCA GL.
The second open issue is the type of contract. Most TSOs started by auctioning so-called
physical transmission rights (PTRs). A trader that buys such a right can trade across the border
and nominate that trade to the TSO, which then subtracts this capacity from the overall volume
of transmission rights that remain for the other timeframes. If the trader decides not to use the
right, it is compensated for the value of the right in a day-ahead auction, where other traders
might be willing to pay for it (use-it-or-sell-it, UIOSI). If the day-ahead stage applies market
coupling, the price difference across the border is the implicit price for the transmission right.
Most TSOs have already converted or are converting to another type of long-term transmission
right referred to as a financial transmission right (FTR). With FTRs, use-it-or-sell-it becomes
sell-it-without-the-possibility-of-using-it. Traders still hedge against the day-ahead price
Who gets the rights to trade across borders? 33
differences between countries, but they cannot nominate a cross-border flow ahead of the
day-ahead timeframe. Hence the name financial, because the physical element is no longer
there. At the time of writing, FTRs are in place on nine borders in the EU and implementation
of FTRs is planned on an additional eight borders.11
The FCA GL leaves it open whether PTRs or FTRs are used. However, among other things,
it is required that marginal pricing is applied in the auctions, that for both PTRs and FTRs
harmonized allocation rules are followed, and that the two types of transmission right cannot
be applied in parallel on one border. Regulators can adopt a coordinated decision not to issue
PTRs or FTRs on a border when they can show that there is no need for hedging or by ensuring
that there are other cross-border hedging instruments available in the market. For example, in
the Nordics an instrument called electricity price area differentials (EPADs) is in place. EPAD
contracts hedge the difference between the price in a certain location and the Nordic system
price. The Nordic system price is the price that would have emerged if there were no conges-
tion in the Nordic system. This system price is a legacy from the market splitting approach and
does not represent an actual location in the Nordic system. Italy does something similar with
an instrument that hedges the difference between the price in a certain location for supply and
the ‘unique’ national price for demand, that is, Prezzo Unico Nazionale (PUN).
The timeframes after day-ahead are intraday and balancing markets. Power exchanges play
a role in the intraday stage by organizing continuous trading platforms, and in some cases also
auctions. In the day-ahead and forward markets the debate was mainly over how to allocate
transmission rights, while for the intraday stage the debate was over keeping the borders open
long enough for intraday trade to become international. The CACM GL prescribes that the
intraday cross-border gate closure shall be at most one hour before delivery. After the intraday
cross-border gate closure, national intraday markets often remain open until even closer to real
time.
Progress in the intraday stage has been slower than in the day-ahead stage. The volumes that
are traded are smaller so less money can be made by organizing and participating in intraday
trade, but intraday markets are important because they allow market parties to avoid imbal-
ances. This is especially important for new players and renewable energy technologies, which
would otherwise be exposed to high balancing costs. We will come back to this interaction in
Chapter 5 on balancing markets. In what follows, we focus on the two intertwined open issues
related to intraday markets: the transmission right allocation method and reservation.
Continuous trade became the dominant model in Europe for intraday in a context where
intraday was less important and trade volumes were so low that auctions were not considered
a feasible option. Now, this intraday continuous trade can also be cross-border using transmis-
sion rights. A main open issue is how to allocate these transmission rights. For most borders,
the current practice is that intraday transmission rights are used free of charge by whoever is
matched first on the continuous trade platform until the rights are no longer available or the
border is closed (i.e. one hour before delivery). After that, the matching of traders can continue
locally. However, first-come-first-served is not a market-based allocation method. Therefore,
no transmission rights are reserved for the intraday stage; only the rights that have not been
used in the day-ahead stage are allocated. Another option is to organize explicit auctions for
34 Evolution of electricity markets in Europe
intraday transmission rights complementing continuous trade, which at the time of writing is
done on several borders. However, we know from experience in the day-ahead market that
explicit allocation is not without flaws.
The CACM GL pushes continuous trade in the intraday timeframe, and auctions are tolerated
as complementary regional arrangements. The cross-border intraday market project (XBID),
based on continuous trading with first-come-first-served allocation of transmission rights, has
been formalized as the single intraday coupling (SIDC) to be applied by all Member States.
At the time of writing, XBID is composed of members from 21 European countries (‘the first
and second waves’). However, at the same time, the CACM GL requires a single methodology
for intraday cross-zonal pricing reflecting market congestion through an implicit allocation
method. Explicit allocation is only allowed as a transitional complementary arrangement. The
implementation of this methodology has been challenging. The NRAs could not agree on how
to do this, so ACER had to decide. Finally, in 2019 ACER decided that three pan-European
auctions will be introduced on top of continuous trading in the intraday timeframe. As soon
as there are auctions in the intraday timeframe, transmission rights can be allocated efficiently
through market coupling and will no longer be allocated for free. The debate on reservation
of transmission rights for this timeframe can even be reopened. How this will play out is very
much an open issue.
2.6 CONCLUSION
In this second chapter, on who gets the rights to trade across borders, we have answered five
questions.
First, how to deal with historical privileges? In Europe, they had remained in place for
a relatively long period until they were challenged in court. Finally, the European Court of
Justice found these privileges were incompatible with the First Electricity Directive. This
landmark court case opened the door for other countries to also abolish them. The accepted
idea was to introduce market-based allocation of transmission rights. However, we had to
wait for Regulation (EC) No 1228/2003, adopted as part of the Second Energy Package, for
market-based allocation of transmission rights to be made mandatory on all EU borders.
Second, how to implement market-based allocation of transmission rights? Regulation (EC)
1128/2003 did not specify which market-based approach should be used. In Europe, many dif-
ferent approaches were tried before converging towards market coupling. Most borders started
with explicit auctions for transmission rights as this solution did not require many changes to
national electricity markets. However, it was quite quickly shown that explicit auctions had
strong deficiencies in the day-ahead timeframe.
Third, how to implement market coupling in the day-ahead timeframe? Different imple-
mentations emerged through regional initiatives. The EU network codes and guidelines made
the implementation of market coupling legally binding through the CACM GL. At the time
of writing, day-ahead market coupling covers 22 European countries, representing more than
90 per cent of EU electricity consumption. The governance of the market coupling operator
(MCO) function and the performance of the algorithm are the main open issues today.
Fourth, what about the timeframe before day-ahead? The network codes and guidelines,
more specifically the FCA GL, also impacted cross-border long-term transmission rights.
Currently, TSOs are obliged to issue transmission rights at least month-ahead and year-ahead
Who gets the rights to trade across borders? 35
on a joint allocation platform. However, there are still ongoing discussions on how to divide
long-term transmission rights between the year-ahead and month-ahead auctions. Traders
want to have as many rights as possible allocated far ahead of delivery, while TSOs generally
propose dividing rights more equally over the timeframes. Moreover, the network codes and
guidelines do not settle which kind of transmission right should be issued. Historically, on
most borders physical transmission rights were in place. Currently, we are seeing a transition
from physical to financial transmission rights in Europe.
Fifth, what about the timeframes after day-ahead? Historically, due to low liquidity,
intraday markets were organized as continuous trading platforms with few options to trade
cross-border. Important progress has been made with the ongoing implementation of XBID,
the single intraday market coupling solution. ACER has decided to complement XBID with
three pan-European intraday auctions. Currently, no cross-border capacity is planned to be
reserved for intraday.
NOTES
1. More in-depth discussion of this case can be found in Hancher (2006).
2. The competition authority of the European Commission opened a Sector Inquiry into the func-
tioning of the European energy markets after significant price increases in the European electricity
wholesale markets (European Commission 2007). Generally, the idea was that by integrating
markets competition can be fostered. In this regard, Gilbert et al. (2004) show that the way that
transmission rights are allocated to generators can also have a strong impact on whether market
power can be mitigated or not.
3. Annex 2A.1 is based on our own work and that of our colleagues. Boisseleau (2004) was one of
the pioneers discussing the importance of power exchanges. In Meeus et al. (2005b) we discuss the
early development of the EU electricity market and the role of power exchanges. In Meeus (2011b)
we focus on the governance and business models of power exchanges and power pools in Europe.
For market statistics, refer to ACER and CEER (2019) and DG Energy (2019).
4. EuroPex (2003) introduced the concept of net export curves. In Meeus et al. (2005a) we argue that
the concept can work if we only consider simple and single-period orders. But, as discussed in
Meeus (2006), the problem is block orders, which would require many iterations and the quality of
the solution would suffer.
5. In Meeus (2011a) we focus on the experience with volume coupling. We show that volume cou-
pling initially performed worse than the situation without coupling. The implementation of volume
coupling was then changed, which slightly improved the performance but not enough to save the
project. We also explain mathematically why what happened was to be expected.
6. More specifically, two coupling projects are in parallel operation, namely the Multi-Regional
Coupling (MRC) and the 4M Market Coupling (4MMC) projects. At the end of 2019, the MRC
connected 22 countries. Furthermore, Greece is also expected to be coupled through the Greece–
Italy interconnector in 2020. The other coupling project, the 4MMC, covers the Czech Republic,
Slovakia, Hungary and Romania. Both projects are expected to be merged in 2020 (ENTSO-E
2019a).
7. In a report published just after the Florence Forum in 2018, the European Commission (2018) wrote
that ‘the Commission sees a need to continue the discussion on the challenges faced so far and
assess the various options for a potential change in the governance of the MCO function.’ All the
presentations at the Florence Forums can be accessed online through the European Commission’s
dedicated website.
8. In Meeus (2011b) we distinguish between merchant and cost-of-service-regulated power exchanges.
We show that these models each have pros and cons by referring to experiences in financial markets.
We also show that more responsibility for power exchanges comes with market coupling, which
might require a governance model to be put in place. At the time of writing we have two main
36 Evolution of electricity markets in Europe
worries. First, that power exchanges may not implement market coupling properly to protect their
own business, as we found in Meeus (2011a). Second, asking them to collaborate to organize market
coupling should not result in a cartel. The press release on the antitrust case of power exchanges can
be found in European Commission (2014).
9. For more information, consult the NEMO Committee (2019) report on the incident.
10. In Meeus et al. (2009) we use simulations based on market data from APX to compare the results of
an algorithm with and without side payments. Madani et al. (2018) further develop the algorithm,
which can be used for market coupling with complex pricing, arguing that it would be a simpler way
of clearing markets.
11. This is reported in ENTSO-E (2019b). ACER (2019b) keeps track of the status of long-term trans-
mission rights on its website.
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November 2017 on the NEMOs’ Proposal for Harmonised Maximum and Minimum Clearing Prices
for the SDAC’.
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November 2017 on the NEMOs’ Proposal for Harmonised Maximum and Minimum Clearing Prices
for the SIDC’.
ACER (2019a), ‘Decision No 01/2019 of the Agency for the Cooperation of Energy Regulators of 24
January 2019 on Establishing a Single Methodology for Pricing Intraday Cross-Zonal Capacity’.
ACER (2019b), ‘Cross-zonal hedging status’, accessed at https://www.acer.europa.eu/en/Electricity/
MARKET-CODES/FORWARD-CAPACITY-ALLOCATION/Pub_Docs/Crosszonal hedging
status.pdf.
ACER and CEER (2019), ‘Annual Report on the Results of Monitoring the Internal Electricity and
Natural Gas Markets in 2018 – Electricity Wholesale Markets Volume’.
All NEMOs (2017a), ‘All NEMOs’ Proposal for Products that Can Be Taken into Account by NEMOs
in Intraday Coupling Process in Accordance with Article 53 of the CACM GL’, published on 13
November 2017.
All NEMOs (2017b), ‘All NEMOs’ Proposal for Products that Can Be Taken into Account by NEMOs
in Single Day-Ahead Process in Accordance with Article 40 of the CACM GL’, published on 13
November 2017.
All NEMOs (2017c), ‘All NEMOs’ Proposal for the MCO Plan’, published on 13 April 2017.
Boisseleau, F. (2004), ‘The Role of Power Exchanges for the Creation of a Single European Electricity
Market: Market Design and Market Regulation’, PhD Thesis, Delft University of Technology/Paris
IX Dauphine University.
DG Energy (2019), ‘Quarterly Report on European Electricity Markets’, Market Observatory for Energy
Q2/2019, vol. 12.
ENTSO-E (2019a), ‘Market Report 2019’.
ENTSO-E (2019b), ‘Type of LTTRs – current status’, presentation at the European Market Stakeholder
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LTTRs.pdf.
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settlement’, press release of 5 March 2014.
European Commission (2018), ‘Report from the European Commission to the Council and the European
Parliament on the Development of Single Day-Ahead and Intraday Coupling in the Member States and
the Development of Competition between NEMOs in Accordance with Article 5(3) of Commission
Regulation 2015/1222 (CACM)’.
EuroPex (2003), ‘Using implicit auctions by power exchanges to manage cross exchanges: decentralized
market coupling’, presentation by B. Den Ouden, President of EuroPex at the Florence Forum.
Who gets the rights to trade across borders? 37
Gilbert, R., K. Neuhoff and D. Newbery (2004), ‘Allocating transmission to mitigate market power in
electricity networks’, RAND Journal of Economics, 35 (4), 691–709.
Hancher, L. (2006), ‘Case C-17/03, VEMW, APX en Eneco Nv v. DTE’, Common Market Law Review,
43 (4), 1125–44.
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pricing in a European power exchanges setting with efficient computation of convex hull prices’,
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Meeus, L. (2006), ‘Power Exchange Auction Trading Platform Design’, PhD Thesis, KU Leuven.
Meeus, L. (2011a), ‘Implicit auctioning on the Kontek Cable: Third time lucky?’, Energy Economics, 3
(33), 413–18.
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Energy Policy, 39 (3), 1470–5.
Meeus, L., T. Meersseman, K. Purchala and R. Belmans (2005a), ‘Implicit auctioning of network capac-
ity by power exchanges using net export curves’, EEM Conference Paper.
Meeus, L., K. Purchala and R. Belmans (2005b), ‘Development of the internal electricity market in
Europe’, Electricity Journal, 18 (6), 25–35.
Meeus, L., K. Verhaegen and R. Belmans (2009), ‘Block order restrictions in combinatorial electric
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Version: 1.0, accessed at http://www.nemo-committee.eu/assets/files/sdac-report-on-decoupling.pdf.
38 Evolution of electricity markets in Europe
In this annex we describe how the role of power exchanges evolved in Europe. First, we
introduce the slow start of power exchanges. Second, we explain the increased focus on
them. Third, we discuss the circumstances that led to a consolidation of the number of power
exchanges across Europe.
First, the slow start of power exchanges. The evolution of power exchanges in Europe
started in 1993 with Statnett Marked AS in Norway. Three years later Sweden joined the
initiative, which was renamed as Nord Pool ASA. After, Nord Pool extended to Finland
and Denmark in 1998 and 2000 respectively. In Spain, OMEL was founded in 1998. In
the Netherlands, the Amsterdam Power Exchange (APX) was launched in 1999. In 2000,
Germany saw its first power exchange (APX Deutschland, APXDE) launch and then cease
operation after only a couple of months without any trading. In the same year, the Leipzig
Power Exchange (LPX) and later the European Energy Exchange (EEX) were created. The
French exchange Powernext was launched in 2001, and many other countries followed
after. Power exchanges were market infrastructure set up by market parties, financial market
institutions, TSOs or a combination of private actors. Over-the-counter (OTC) markets and
organized exchanges complement each other but also compete for trading volume, which helps
to reduce transaction costs for traders. Power exchanges are trading platforms that facilitate
anonymous trade between market parties. By acting as a counterparty in all transactions and
clearing all trades either themselves or through their clearing houses, they greatly reduce the
counterparty risk for market participants. Power exchanges also enhance market transparency
as prices and volumes are published through the platform, while details of OTC trades remain
with the negotiating parties. The closer to real time, the more specific the needs of the market
participant are and the more difficult it is to find the right counterparty. Despite the early
movers mentioned above, it took a long time for all the markets to have a power exchange up
and running. Still today, OTC trade constitutes the bulk of electricity trade.
Second, the increased focus on power exchanges. Having a healthy and well-functioning
exchange became a benchmark in national market functioning. The Sector Inquiry of 2007
used several indicators to measure the performance of power exchanges, such as the number of
players, traded volumes, the price-setting frequency of certain generators and price volatility.
Later, price resilience was also added as an indicator. Not surprisingly, the smaller and/or
more concentrated markets found that an exchange did not work very well in their contexts.
Consequently, various liquidity-supporting measures were implemented to incentivize incum-
bent utilities and TSOs to trade on power exchanges for the benefit of new entrants, which
relied on them to survive. Note that TSOs only purchase energy to offset the losses in their
transmission network. Today, day-ahead markets in Europe are generally considered to be
liquid enough, while this is not yet the case for intraday markets.
Third, we discuss the circumstances that led to a consolidation of the number of power
exchanges across Europe. In the early days of the EU electricity market integration process,
every country wanted to have its own market infrastructure. However, after the initial sensitiv-
ities faded, the market logic led to consolidation. Often, these national power exchanges had
in any case already outsourced a major part of their activities instead of developing their own
trading software and/or platforms. Gradually, two large players emerged through mergers and
Who gets the rights to trade across borders? 39
acquisitions. One large player is Nord Pool AS, which is mentioned in Section 2.3. The other is
EPEX SPOT SE, which has a long history of mergers and collaborations, as is shown in Figure
2A.1. In 2002, the Dutch power exchange APX tried to set up a Belgian subsidiary called BPX,
a project which was abandoned. Instead, the Belgian TSO Elia established a Belgian power
exchange called Belpex in 2006. Belpex was eventually integrated into APX in 2010. Five
years later, APX itself was integrated into EPEX SPOT, which was the result of the merger of
the German exchange EEX and the French Powernext. At the time of writing, EPEX SPOT
and Nord Pool are active in 8 and 14 countries respectively, with more expansions planned for
both power exchanges. The south-eastern European countries are still setting up new power
exchanges in cooperation with one of the two big players. Examples are the Independent
Bulgarian Energy Exchange (IBEX) and the Croatian power exchange (CROPEX), where
Nord Pool operates the day-ahead and intraday markets. Another example is the South East
European Power Exchange (SEEPEX), which was established as a joint venture between the
Serbian TSO and EPEX SPOT. We also see new players coming into the market infrastructure
business, and will come back to this in Chapter 8.
40 Evolution of electricity markets in Europe
Imagine two countries, A and B, which each represent one bidding zone. The concept of
bidding zones is discussed in more depth in Chapter 3 of this book. Basically, when a country
equals one bidding zone it means that the electricity price will be the same for the whole
country per market time period.
First, no later than 11.00 Central European Time (CET), available capacities on intercon-
nectors are published. Second, until 12.00 CET market parties have the possibility to submit
their buy/sell orders to the power exchange(s) in their country for the day-ahead auction
covering delivery in all hours of the next day. Third, each power exchange sends its order
books, that is, the collected buy and sell orders, to the market coupling operator (MCO). The
following table shows an example for an order book of two countries for a specific hour.
Fourth, the prices are calculated by the pan-European algorithm operated by the MCO. Fifth,
under normal circumstances, at 12.55 CET the final market coupling results are published by
the power exchange(s).
Country A Sell orders Inelastic demand
Ga1: 20 MWh at €20/MWh 80 MWh
Ga2: 30 MWh at €50/MWh
Ga3: 70 MWh at €60/MWh
Country B Sell orders Inelastic demand
Gb1: 130 MWh at €20/MWh 100 MWh
Gb2: 20 MWh at €30/MWh
Gb3: 40 MWh at €40/MWh
We can consider four cases, which differ in the amount of commercial cross-border capacity
between the countries indicated by the relevant TSOs. For simplicity, an inelastic demand is
considered, and the price is set by the marginal sell order unconditional on whether it is fully
filled or not.
This means there are two different clearings, one for each country.
Price Demand Supply Export to other country
Country A €60/MWh 80 MWh 80 MWh 0
Country B €20/MWh 100 MWh 100 MWh 0
In this case, there is no cross-border trade. The spread between the two countries is €40/MWh.
In country A, Ga3 sets the price. In country B, Gb1 sets the price. There is no congestion rent
as there is no volume traded between the two countries.
This means there is one joint clearing for both countries, that is, the supply (and demand)
curves of the two countries are aggregated.
Who gets the rights to trade across borders? 41
In this case, the price reduces in country A and increases in country B. There is cross-border
trade but no price spread. Gb3 sets the price for both countries. Implicitly, 60 MW of
cross-border capacity is allocated by the MCO from country B to A for the particular hour.
There is no congestion rent as there is no price spread between the two countries.
Case 3: 100 MW/h commercial cross-border capacity is available in both directions between
countries A and B
This means there is one joint clearing for both countries, that is, the supply (and demand)
curves of the two countries are aggregated unless the exchange exceeds the commercial
capacity available.
Price Demand Supply Export to other country
Country A €40/MWh 80 MWh 20 MWh − 60 MWh
Country B €40/MWh 100 MWh 160 MWh + 60 MWh
This case is no different to case 2 as the exchange between the two countries is not limited by
the commercial cross-border capacity available.
This means there is one joint clearing for both countries, that is, the supply (and demand)
curves of the two countries are aggregated unless the exchange exceeds the commercial
capacity available.
Price Demand Supply Export to other country
Country A €50/MWh 80 MWh 40 MWh − 40 MWh
Country B €30/MWh 100 MWh 140 MWh + 40 MWh
In this case, compared to case 1, the price reduces in country A (but not as much as in cases
2 and 3) and the price increases in country B (but not as much as in cases 2 and 3). There is
cross-border trade and a price spread. The commercial exchange between the countries is
limited due to the capacity available. In country A, Ga2 sets the price; in country B, Gb2 sets
the price. Implicitly, 40 MW of cross-border capacity is allocated from country B to A for the
particular hour by the MCO. There is a congestion rent of 40 MWh*€20/MWh = €800 for this
particular hour. More information about the calculation of congestion rent can be found in
Annex 4A.1 of Chapter 4.
42 Evolution of electricity markets in Europe
In this chapter we answer five questions. First, why do we focus so much on constraints?
Second, why do we calculate trade constraints on virtual borders? Third, who is best placed
to do virtual border calculations? Fourth, how to organize the data exchange in support of the
calculations? And fifth, why are there still open issues?
In this section, we explain that transmission lines are currently the only economically viable
way to transport electricity, transmission planning is challenging and transmission operation
is critical to avoid blackouts.
First, transmission lines are currently the only economically viable way to transport elec-
tricity. In other industries, transport and logistics follow the rest of the value chain. There
are many companies that compete to supply transport services. In those industries, transport
is considered a cost rather than a constraint. Maybe in the future we will have competition
to transport electricity, with market parties carrying large-scale batteries on trucks, trains or
ships to transport it over long distances. However, for the moment there are no alternatives.
In the EU, we have transmission system operators (TSOs), which own networks and perform
the system operator tasks in a certain geographical area that is called a control area. In most
countries, the control area coincides with the national territory. Germany is one of the excep-
tions, having four control areas. Some countries have chosen to separate the system operator
role from the asset owner, in which case the system operator is referred to as an independent
system operator (ISO). For example, Ireland and Great Britain follow this model, which is
also the dominant one in the US. Regardless of the specific model, the transmission network
is centrally planned and regulated, and therefore by definition imperfect. In economic terms,
we consider the transmission network to be a natural monopoly. We discussed how incentive
regulation has been used to manage these imperfections in our previous book.1
Second, transmission planning is challenging. Transmission planning by TSOs (or ISOs)
under the supervision of regulators tries to anticipate the decisions of market parties on where
they will invest in power plants or where they will consume electricity. Investments in the
network are then planned accordingly. However, as there are many uncertainties involved
and large transmission projects take longer than most power plant projects, there are typically
many transmission-capacity constraints in the system. Due to these constraints, the cheapest
resources cannot reach the consumers with the highest willingness to pay. This planning
problem is becoming even more pressing with greater numbers of renewable energy technolo-
gies. Indeed, wind turbines and solar parks are faster to build than coal or nuclear power plants.
48
How to calculate border trade constraints? 49
Third, transmission operation is critical to avoid blackouts. If we do not account for lim-
itations in the network, the market will result in consumption and production patterns that
are not feasible. If we then force the flows through the network lines, they overheat and dis-
connect. The weakest link disconnects first, which redistributes the flows to other lines. This
can create additional overheating, which is followed by a cascade of disconnections, ending
in a blackout. The same cascade of events can take place if something unexpected happens
to a transmission line. An example of such an event is the blackout that took place in Italy in
2003 after a line tripped on the Swiss–Italian border (Box 3.1). Normally, these problems are
avoided by applying the N−1 redundancy principle. There is always some reserve kept in the
system to avoid a complete collapse if one of the elements fails.
On 28 September 2003 at 03.28 in the morning, a blackout affected more than 56 million
people across Italy and some areas of Switzerland. The consequences were huge. For exam-
ple, 30 000 people were stranded on trains in the Italian railway network. Estimates of the
number of fatalities directly related to the loss of power vary. Much of Italy was energized
again before 08.00, the central part around noon and the rest of the mainland at 17.00. Sicily
was only fully energized at 21.40. Some commercial and domestic users even suffered dis-
ruption in their power supplies for up to 48 hours.
The sequence of events was triggered by the 380 kV Swiss Mettlen–Lavorgo line trip-
ping at 03.01 as a result of a tree flashover. Tree flashovers happen when a line comes too
close to trees because they have not been trimmed properly and/or when a line sags more
than normal due to overheating.
Following the N−1 principle, other lines were able to take over the flows, but only for
a short time. The system needed to be restored to return to a secure state. The Swiss TSO
therefore asked the Italian TSO to reduce Italian imports by 300 MW. At this time, Italy was
importing up to 300 MW more than the already high import schedule, which amounted to
6400 MW on the northern border. However, the import reduction, together with some in-
ternal countermeasures taken within the Swiss system, was insufficient to relieve the over-
load. At 03.25, the Sils–Soazza line in proximity to the Mettlen–Lavorgo line also tripped
after another tree flashover. Almost simultaneously and automatically the remaining lines
towards Italy also tripped, and the Italian system was isolated from the European network
about 12 seconds after the loss of the Sils–Soazza line.
After this separation, the Italian system had a large shortage resulting in a frequency drop
and a disconnection of power plants in the north of Italy. This then accelerated the frequen-
cy drop. The Italian TSO tried to save the situation with emergency load shedding, but the
frequency reached the threshold of 47.5 Hz and the whole system collapsed in a blackout
2 minutes and 30 seconds after the isolation of Italy from the rest of Europe. In Chapter 6
we will come back to the role of power plants and other grid connections in this kind of
incident.
50 Evolution of electricity markets in Europe
Note: UCTE (2004) provides a detailed investigation of the incident. Ranci (2019), the first president of the
Italian regulator and founding director of the Florence School of Regulation, describes from his point of view how
he saw the blackout that happened in the last months of his mandate. He states that it was an unexpected failure,
showing how limited the regulator’s powers were to coordinate international relations. He also comments that the
Italian regulatory authority had to learn how difficult it can be to explain a highly technical issue to the media, to
the public at large and even to members of government.
This is because the interdependencies between different bidding zones are considered using
virtual flow factors in the market coupling algorithm. The algorithm allocates the interde-
pendent flows over the different borders to maximize welfare from cross-border trade. The
Capacity Allocation and Congestion Management Guideline (CACM GL) refers to FBMC as
the primary approach for day-ahead and intraday capacity calculations. Even though the NTC
method is still allowed, FBMC is already the dominant model. The idea was discussed long
ago in the central western Europe (CWE) regional initiative. The original launch in that region
was foreseen for 2009, but due to delays and implementation issues it took until the adoption
of the CACM GL in 2015 to finally implement the FBMC method. For a more detailed discus-
sion of the FBMC concept and the key parameters that play a role, see Annex 3A.1.2
Regional collaboration among TSOs started voluntarily and was then formalized. In what
follows, we first discuss the steps from regional security coordination initiatives (RSCIs) to
regional security coordinators (RSCs) to finally regional coordination centres (RCCs). After,
52 Evolution of electricity markets in Europe
we discuss the connection of RCCs with capacity calculation regions (CCRs), which play
a key role in the implementation of FBMC.
First, the steps from RSCIs to RSCs to RCCs. Around 2008, the first RSCIs set up were
CORESO (based in Brussels) and TSCNET services (based in Munich). In 2015, another
RSCI was created in south-eastern Europe (SEE) in Belgrade. In 2016, Nordic and Baltic
RSCIs were established. A system operation guideline (SO GL) adopted in 2017 formalized
these initiatives by stating that each control area was to be covered by at least one RSC. The
left-hand side of Figure 3.2 gives an overview of the geographical coverage of the five RSCs
as of January 2019. RSCs are owned or controlled by TSOs and perform different tasks. The
SO GL defines five core tasks for the RSCs, and the Clean Energy Package (CEP), more
specifically Regulation (EU) 2019/943, has recently added additional tasks. The CEP also
renamed the RSCs as regional coordination centres and enhanced their governance.
Second, the connection between RCCs and the CCRs. Within a CCR there is a high degree
of interdependence of capacity calculation across borders. CCRs play a key role in the
implementation of FBMC. The CACM GL includes the methodology for defining CCRs and
requires a coordinated capacity calculation methodology to be developed per CCR. It is this
capacity calculation methodology that specifies the implementation of FBMC using parame-
ters, which we discuss in Annex 3A.1. The definition of the geographical scope of the CCRs
was a very sensitive topic, with the Agency for the Cooperation of Energy Regulators (ACER)
deciding to merge central western Europe (CWE) and central eastern Europe (CEE) into one
region, referred to as the Core region. Remember that ACER can only decide on the adoption
of methodologies if the national regulatory authorities (NRAs) cannot agree, which was the
case for this methodology. For each CCR, the relevant RCC is appointed as coordinated
capacity calculator. In the case that there is more than one established RCC active in a CCR,
it is expected that one RCC will be responsible for assuming the function of the coordinated
capacity calculator on a rotating basis. The right-hand side of Figure 3.2 shows the resulting
map of the CCRs. Two of the ten CCRs, the Core and the Nordic CCR, agreed to implement
FBMC for the day-ahead timeframe. FBMC spanning the full Core region is expected to go
live on 1 December 2020. For the Nordics, the go-live is planned for 1 July 2021. The idea is
that gradually CCRs will merge and as such coordinated capacity calculation can be performed
over wider geographical areas.
Note finally that even though RCCs take up the role of coordinated capacity calculators,
TSOs remain responsible for maintaining operational security. TSOs can decide not to imple-
ment a coordinated action proposed by the RCC, whether it is an action related to capacity cal-
culation or grid operation, but only for security reasons, and not for economic considerations.
They then need to report the detailed reason to the RCC and the TSOs of the region. This will
be further investigated. The RCC may then propose a different set of actions. How this will
work is an open issue. In Chapter 6, we describe the incident that led to the start of RSCIs and
the tasks they and their grandchildren perform.
To understand how the data exchange supporting regional capacity calculations is organized,
it is necessary to read multiple EU network codes and guidelines. The CACM GL, Forward
How to calculate border trade constraints? 53
Figure 3.2 Left: the five regional security coordinators (RSCs) as of 1 January 2019;
right: the ten capacity calculation regions (CCRs)
Capacity Allocation Guideline (FCA GL) and System Operation Guideline (SO GL) each
contain methodologies that when combined explain how the data exchange is organized. All
these methodologies have already been approved by the NRAs and adopted. In what follows,
we provide an overview of who provides the input data to the TSOs, the process for integrating
the data from the TSOs into a common grid model (CGM), how this CGM is used and the
physical infrastructure used to exchange these data.
The first question is who provides the input data to the TSOs? The CACM GL and FCA GL
each include generation and load data provision methodologies (GLDPM). These set out the
generation and load data that TSOs can request from grid users. This applies mainly to the grid
users connected at voltages of 220 kV or above. It can also apply to voltages below 220 kV if
they are used in regional operational security analysis of the capacity calculation timeframe
concerned. These data provisions apply regardless of whether the units are operated by the
TSO or a distribution system operator (DSO), including closed distribution systems (a type of
private network). TSOs can only use the GLDPM to request data if those data are not already
available to them through other national or EU legislation (e.g. the ENTSO-E Transparency
Platform), which can help to avoid double reporting. In addition, the TSOs can only use infor-
mation received under the GLDPM for capacity calculations.
The second question is what is the process for integrating the data from the TSOs into
a common grid model? Figure 3.3 summarizes the process. It starts with the TSOs’ individual
grid models (IGMs). The IGMs cover the power system characteristics, such as generation,
load and grid topology. They are scenarios with a forecast representation of the power system
for a given timeframe. The RCCs then merge the IGMs into CGMs, one for each timeframe.
The merging process is a continuous cycle updating the information available on the grid situ-
54 Evolution of electricity markets in Europe
ation to ensure that each TSO has enough information for its area and each RCC has the neces-
sary pan-European view to do the capacity calculations for the region. Note that the CGMs are
pan-European, even though the capacity calculation is done regionally. It is expected that the
RCCs will take turns to merge the IGMs into CGMs. Note too that ENTSO-E stores the IGMs
and the CGMs in a portal called the pan-European Operational Planning Data Environment
(OPDE).
The third question is how is the CGM used? The SO GL, the CACM GL and the FCA GL
each require the establishment of CGMs. The difference between these different models lies
in the timeframes for which they are calculated and used. Following the CACM GL, the RCCs
must use the CGMs for their capacity calculations in the day-ahead and intraday timeframes.
Following the FCA GL, the RCCs can use the CGMs for their capacity calculations in the
timeframes before day-ahead, but they can also opt for a statistical approach. The SO GL
refers to the use of CGMs for various system operation processes.
The fourth question is what is the physical infrastructure used to exchange these data?
A new physical infrastructure called the Physical Communication Network (PCN) will be built
for the purpose of exchanging CGM-related data. In 2017, the TSOs decided to merge the PCN
with their existing network to exchange real-time data (the Electronic Highway). Both types of
data exchange are equally critical for TSOs to perform their tasks.
In conclusion, the days when each TSO was using its own grid model to perform capacity
calculations are behind us. There is widespread agreement on the benefits of a common
approach to reducing costs and improving performance. The organization of data exchanges to
support the ongoing market integration process is a topic that is being increasingly discussed.
One of several open issues is the data exchange between the TSO and DSOs and access
rights to different grid users’ data. In this regard, the key organizational requirements, roles
and responsibilities (KORRR) methodology is relevant. The KORRR methodology, which
is part of the SO GL, covers data needed beyond capacity calculation – for example, data
for real-time operations – and it complements the GLDPMs. The approved version of this
How to calculate border trade constraints? 55
FBMC was expected to improve the availability of transmission capacity thanks to a more
sophisticated capacity calculation. To monitor if the approach delivered, ACER and the
Council of European Energy Regulators (CEER) developed the concept of a benchmark
capacity, which is the capacity they expect TSOs to make available on a certain border. In
the first full year of FBMC in 2016, on average only 59 per cent of this capacity was made
available in central western Europe. This was slightly better than what was available before
the implementation of FBMC, but there was less improvement than expected. ACER also
estimated that we are losing several billions of euros a year by not reaching the benchmark
capacity.4
The reason is that FBMC does not address today’s most pressing issue, which is that the real
constraints in the network are no longer at the outdated virtual borders but within the bidding
zones. In what follows, we discuss how Directorate-General for Competition (DG COMP –
the European competition authority), the EU network codes and guidelines, and the EU Clean
Energy Package (CEP) have started to address the issue. Finally, we discuss the US approach
to this problem.
First, the approach by DG COMP. This started with an antitrust case against the Swedish
TSO Svenska Kraftnät (SvK) and continued with a case against the German TSO TenneT DE.
The SvK case started in 2006 after a complaint by the Danish energy industry association that
it suffered high prices because the Swedish TSO was blocking cheap imports from Norway
to Denmark via Sweden. DG COMP concluded that SvK had indeed constrained cross-border
trade to reduce internal congestion problems. This was found to be an abuse of the TSO’s
dominant position and discrimination against cross-border flows in favour of internal flows.
SvK initially stated that it would remedy the situation by investing in the constrained internal
transmission lines, but this was not enough for the Commission. To avoid being fined, in 2010
SvK agreed to split Sweden into four bidding zones. This was the best solution because traders
in Sweden now compete on a level playing field with cross-border traders for the limited inter-
nal capacity that is available in Sweden. When Sweden was one bidding zone, national trade
was unlimited and cross-border trade could only use the national trade’s leftovers.5
The TenneT DE investigation started in 2018. In this case, the complaint was that TenneT
DE limited the export of cheap renewable wind energy from Denmark to Germany. This
TSO also agreed to remedies to avoid being fined by DG COMP. TenneT DE guaranteed it
would make significantly more capacity available on the Danish border a few months after
the agreement with DG COMP, and would further increase capacity by 2026, when additional
investment projects will have been completed. This solution is not a good one, but it currently
seems to be the only politically feasible solution in Germany. Germany does not want to split
up the national bidding zone into smaller bidding zones to deal with internal constraints. Its
long-term solution is transmission investment, and in the meantime it has agreed to allow
more cross-border trade, although it knows that it does not have enough internal transmission
capacity to handle it. The German TSOs therefore intervene in the market with so-called redis-
56 Evolution of electricity markets in Europe
patching actions. Germany is basically changing the market outcome to prevent its internal
lines from overloading. These interventions are costly, and they also lead to market distortions.
The result is paying those that caused the problem to solve the problem. They can then create
more problems and earn more money. ACER estimated that in 2017 redispatch costs in the EU
had already reached 2 billion euros.6
Second is the approach followed by the CACM GL. This introduced a bidding zone review
process. The first bidding zone review was requested by ACER in 2016 for the central Europe
region, and ENTSO-E published the results in 2018. Four alternative bidding zone configura-
tions were assessed using a multi-criteria analysis. Following the CACM GL, the three main
criteria considered were the stability and robustness of the bidding zones, network security and
overall market efficiency. No alternative bidding zone configuration was found to outperform
the status quo on all the criteria. The review therefore proposed keeping the current configu-
ration. The TSOs did not feel comfortable carrying out this politically sensitive review, and
together with most observers we have been disappointed with the outcome. This explains why
this issue has again been picked up in the CEP.
Third is the approach followed by the CEP. Regulation (EU) 2019/943 introduced an
improved bidding zone review process. The implementation of this new process has already
started with the submission of a bidding zone review methodology and alternative configu-
rations by TSOs. All the NRAs then have three months to reach a unanimous decision on the
proposal. If they fail to reach a decision, then ACER will decide within an additional three
months. The TSOs will do the bidding zone review and analyse alternative configurations
using the agreed-upon methodology. They will then provide the relevant Member States
or their designated competent authorities with a joint proposal to amend or maintain the
current bidding zone configuration. This process is similar to that described in the CACM
GL. However, the end of the process is new. If Member States that opt to change the existing
bidding zone configuration cannot reach a unanimous decision, as a last resort the European
Commission will adopt a decision to amend or maintain it.
The European Commission had originally proposed legislation that would put it in charge
of configurating bidding zones. However, the European Council (representing the Member
States) opposed this and compromised with the European Parliament on what came to be
known as one of the most controversial elements in the CEP. In the final version of Regulation
(EU) 2019/943, the European Commission only has last resort powers when it comes to the
bidding zone configuration, but Member States have to comply with a transmission capacity
availability threshold. Regulation (EU) 2019/943 states that the available transmission capacity
of all transmission elements possibly limiting the amount of electricity that can be exchanged
between different bidding zones should be at least 70 per cent of a benchmark value. A process
has been set in motion to assess the extent to which different countries already comply with
this threshold and how they intend to comply by 2025. Basically, countries need to choose
between the two DG COMP cases – whether to follow the Swedish or the German approach to
stopping discrimination between cross-border and national trade.
Fourth is the US approach to this issue, that is, nodal pricing. If it is not possible to agree
on bidding zones, they could simply be abolished or reduced to the physical nodes in the
transmission network. This would mean that, instead of a simplified network with virtual
borders and flow factors, the physical constraints of the transmission network are represented
in the market coupling algorithm. If none of the constraints are binding and thermal losses are
How to calculate border trade constraints? 57
excluded, there would be a single price for the whole of Europe. If one of them is binding,
the result would be a ‘weather map’ in which every point or node in the transmission network
would have a different price depending on where it is in relation to that network constraint.
The price map would change with weather conditions as the availability of wind and solar is
becoming an important factor in electricity production. In addition, temperature influences
electricity consumption. US markets have experience with nodal pricing in smaller-scale
markets; Europe could be the first to do it on a much larger international scale. We shall see
how this open issue plays out.7
3.6 CONCLUSION
In this chapter on the calculation of cross-border trade constraints, we have answered five
questions.
First, why do we focus so much on constraints? Transmission lines are currently the only
economically viable way to transport electricity. Transmission planning is challenging and
transmission operation is critical to avoid blackouts. The N−1 redundancy principle means
that there is always some reserve kept in the system to avoid a complete collapse if one of the
elements fails.
Second, why do we calculate trade constraints on virtual borders? It seemed natural to
define virtual trade borders between countries and assign a limited capacity to these borders.
The FBMC algorithm captures the interdependencies between borders and the CACM GL
mandates it to be the primary approach for day-ahead and intraday capacity calculation.
Third, who is best placed to do these virtual border calculations? Collaboration among
TSOs started voluntarily and evolved into being more formal. The CACM GL introduced the
concepts of CCRs and RSCs and the Clean Energy Package added responsibilities for RSCs
and renamed them as regional coordination centres (RCCs).
Fourth, how to organize the data exchange in support of the calculations? The SO GL, the
CACM GL and the FCA GL require the establishment of CGMs. They ensure that each TSO
has information to manage its area and each regional coordination centre has the pan-European
view. Interestingly, a dedicated European physical communication infrastructure supporting
multiple real-time and non-real-time services has been built up to support the data exchange.
And fifth, why are there still open issues? The current bidding zone configuration is out-
dated. Too many countries have a national bidding zone with internal congestion within it.
They therefore discriminate against cross-border trade in favour of national trade. The best
solution is to split bidding zones, but some countries prefer to keep their national bidding zone
despite the very high cost.
NOTES
1. In Meeus and Glachant (2018) we discuss how TSOs and distribution systems operators (DSOs)
are regulated as monopolies over transmission and distribution assets. We also show that the border
between what is considered a market, transmission or distribution is not always clear, which is
referred to as seams issues or grey areas in regulation.
2. A comprehensive comparison between the NTC approach and FBMC can be found in Van den
Bergh et al. (2016).
3. A distribution-connected significant grid user (SGU) is a generator connected to a distribution
network with a connected capacity higher than a certain threshold. This threshold, typically between
58 Evolution of electricity markets in Europe
several hundred kWs and 1 MW, depends on the national implementation of the Requirements for
Generators Network Code (RfG NC), which is discussed in more depth in Chapter 6. In addition,
distribution-connected demand facilities, directly or aggregated, which provide demand response to
the TSO are considered SGUs.
4. The benchmark capacity is calculated as if the ACER (2016b) recommendation on common
capacity calculation, redispatching and countertrading cost sharing methodologies is applied. This
recommendation emphasizes that internal network elements should not limit available tradable
cross-zonal capacity and that loop flows and other unscheduled flows should be minimized. Loop
flows are explained in Annex 3A.2. Making comparisons with how much available capacity was
offered in the past is not straightforward. This is first because it is not easy to compare available
tradable capacity under an NTC and an FBMC approach, and second because the concept of
a benchmark capacity was introduced for the first time in the ACER and CEER (2017) market
monitoring report of 2016. For example, the market monitoring analysis in ACER and CEER (2016)
shows that approximately 31 per cent of the interconnector’s physical capacity on CWE borders was
used for trading in 2015. The same report found that the ratio between NTC and thermal capacity in
CWE was 27 per cent.
5. A more detailed legal discussion of the SvK case can be found in the work of our colleagues de
Hauteclocque and Hancher (2011).
6. The discussion regarding the TenneT DE case is based on press releases from the European
Commission (2018). The €2 billion estimate of EU-wide redispatch costs in 2017 is based on the
ACER and CEER (2018) market monitoring report. Using simple cases, Stoft (1999) shows the
possibility of gaming between the wholesale market and redispatching, the so-called incremental–
decremental (inc–dec) game. Purchala (2019) describes how the zonal market does not facilitate
correct incentives for efficient behaviour.
7. The book Spot Pricing of Electricity by Schweppe et al. (1988) and the paper ‘Contract networks
for electric power transmission’ by Hogan (1992) were seminal works which laid the foundations
for the implementation of nodal pricing in the US. Neuhoff and many colleagues (2013) quantify
the Europe-wide operational savings of nodal relative to zonal market design to be in the order
of €0.8–2 billion/year (representing 1.1–3.6 per cent of operating costs). Similarly, Green (2007)
calculates that moving from a uniform zonal price to optimal nodal prices for England and Wales
could raise welfare by 1.3 per cent of the generators’ revenues, and would be less vulnerable to
market power. Both papers add that nodal pricing would send better investment signals but would
also cause politically sensitive redistributions. More recently, the concept of distribution locational
marginal pricing (DLMP) or nodal pricing all the way down to distribution grids is gaining atten-
tion. Caramanis et al. (2016) propose a DLMP framework in which the market and reserves are
cleared simultaneously (co-optimization) with inclusion of flexible loads and distributed energy
resources (DERs) and while considering line-flow constraints and distribution-bus voltage limits.
Papavasiliou (2018) provides an analysis of three DLMP approaches. He discusses price formation
under each approach and their strengths and limitations. MIT Energy Initiative (2016) highlights
the need for advanced meters, inexpensive information and communications technology (ICT)
solutions and DERs in order to make effective use of DLMP.
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60 Evolution of electricity markets in Europe
FBMC is a process, not a one-step calculation, which starts two days before real time (base
case) and ends the morning one day ahead. At that moment, the coordinated capacity calcula-
tors deliver the necessary parameters to the market coupling operator (MCO) that is in charge
of the day-ahead market-clearing algorithm. In FBMC, market clearing and the allocation of
cross-zonal transmission capacity are done jointly. By considering interdependencies between
network elements in the market clearing, the transmission capacity is allocated in a way that
total welfare from trade is maximized. To arrive at a simplified network model without having
to consider all the individual lines, each TSO defines critical network elements (CNEs) in its
control area. In the literature, CNEs are also called critical branches. CNEs include cross-zonal
lines, but they can also include internal lines or transformers that are significantly impacted by
cross-zonal exchanges. By considering a CNE in the capacity calculation process, a CNE can
limit the amount of power that can be exchanged. The flow-based parameters incorporated in
the market-clearing algorithm are challenging to determine. We briefly introduce two of these:
zonal power transfer distribution factors (PTDFs) and CNE availability margins.
First, zonal PTDFs describe the linear relationship between the physical flow in a CNE and
the net exchange position of a specific bidding zone. The net exchange position is equal to the
total production minus the total consumption within the zone. If production is higher than con-
sumption, the zone will be a net exporter; vice versa, the zone would be a net importer. PTDFs
are formulated in a matrix with all the bidding zones in one dimension and all the CNEs in the
other dimension. With zonal pricing, nodes are grouped in zones. This implies that in order
to correctly represent flows between zones, zonal PTDFs need to be approximated from what
happens at the nodal level within a zone. Generation shift keys (GSKs) and load shift keys
(LSKs) may also be used to ‘translate’ changes in generation/consumption at the nodal level to
impacts on the net exchange level of a zone. GSKs are not easy to determine as they are based
on predictions of the market outcome and subject to forecast errors. Each TSO calculates the
GSKs for its control area.
Second, CNE available margins (AMs). The AM is the maximum flow from day-ahead
trade that can be carried by CNEs. The available margin is also referred to as the remaining
available margin (RAM). Determining the AM involves identifying the CNEs within a control
zone and the contingencies (critical outages) to be considered for system security. More pre-
cisely, AMs are the maximum flow an element can carry corrected by three types of flows to
what is left for day-ahead trade. The first correction is for the reference flow to a CNE. This
is caused by transactions between or within bidding zones other than the day-ahead market,
such as bilateral transactions or transactions in forward markets. The second correction is for
a final adjustment value, a margin which is TSO-specific and depends on, for example, costly
remedial actions such as redispatch possibilities. To determinate this value it is important to
ensure that there is no discrimination between internal and cross-zonal flows. The third cor-
rection is for a flow reliability margin, a safety margin compensating for approximations made
in the flow-based approach.
How to calculate border trade constraints? 61
Two types of flow can ‘consume’ cross-zonal capacity between two bidding zones at the
expense of capacity available for trade between the two bidding zones. First, transit flows.
Some cross-zonal capacity of one bidding zone will be used by parallel flows resulting
from trade between other bidding zones. For example, trade between Germany and France
can flow through Belgium. Thus, the cross-zonal transmission capacity available for trade
between Belgium and its neighbours will be impacted. Transit flows are unscheduled when
the exchange causing the flow is cross-zonal and the capacity calculation is not coordinated
with the zone facing the flow. A flow is called an unscheduled flow when the physical flow
in the network differs from commercial exchanges between consumers and producers within
a bidding zone or between two different bidding zones. If the cross-zonal capacity calculation
is coordinated between the zones causing the transit flow and the zone facing it, the transit
flow is scheduled, as it can be accounted for in the transmission calculation process. A transit
flow is illustrated on the left-hand side of Figure 3A.1.
Second, loop flows. Transactions within a bidding zone can have an impact on the flows
through adjacent bidding zones. For example, if there is a commercial transaction between
the north and the south of Germany, it is possible for electricity to flow through Poland to
reach its destination. Thus, the cross-zonal transmission capacity available for trade between
Poland and its neighbours (mostly Germany in this case) will be impacted. By definition loop
flows are always unscheduled as they occur between two nodes within the same bidding zone.
A loop flow is illustrated on the right-hand side of Figure 3A.1.
Transit flows are exactly the kind of flows that can be dealt with by FBMC, but loop flows
cannot. Loop flows can only be addressed by revising the bidding zone configuration.
Figure 3A.1 Scheduled flows (black), transit flows (white, left) and loop flows (white,
right); the different rectangular areas represent bidding zones
62 Evolution of electricity markets in Europe
In this chapter, we answer four questions. First, who pays for the network? Second, why did
national network tariffs start to be harmonized? Third, why was there a move away from
transit charges? And fourth, how to share network investment costs between countries?
Electricity networks are important infrastructure like roads, railways and fibre networks. Such
important infrastructure is typically paid for through a combination of general taxation and
user tariffs. However, electricity networks in Europe are mostly paid for by network users
through so-called network tariffs. In what follows, we introduce the two types of network
tariffs: connection charges and access charges.1
First, connection charges. As the name indicates, these charges are for connection to the grid
at the time of connecting and are typically one-off payments that in some cases can be spread
over time. They are often labelled ‘super-shallow’, ‘shallow’ or ‘deep’ connection charges.
Super-shallow means a very cheap or free connection. Shallow means you pay for the cable
and other necessary equipment to connect you to the electricity network’s local feeder. You
are the only user of that piece of the network so the cost can easily be attributed to you. Deep
means that you also pay for network reinforcements that might be needed deeper inside the
network to accommodate the new connection at your location. Deep charges try to influence
the location of new connections by signalling where the network can still host additional
connections without reinforcement and where reinforcement would be needed. Shallow
connection charges are the dominant model in Europe, but there are also a few countries with
deep charges (five countries in 2018). Connection charges can also vary within a country for
different voltage levels and/or different grid users. Consumers and producers are not necessar-
ily treated in the same way.
Second, access charges. These charges are paid on a monthly or bi-annual basis. Network
access charges are usually divided between transmission access charges and distribution
access charges. Grid users contribute to the network cost of the voltage level that they are
connected to and the voltage levels above them. This means that grid users connected to the
highest transmission-level voltage only pay transmission charges for that level, while house-
holds connected to the lowest distribution-level voltage pay for all the network levels above
them through both transmission and distribution access charges. The origin of this cascading
principle is that electricity flows from the highest voltage all the way down to the lowest.
Transmission access charges are also used to recover the costs of some of the services that are
68
Who pays for the network when trade is international? 69
In this section, we first discuss the level of harmonization of transmission network tariffs and
then introduce two open issues.
For the moment, network tariffs have only been harmonized at the transmission level, and only
access charges, not connection charges, are harmonized. Moreover, only the access charges
that apply to generators have to a certain extent been harmonized (the so-called G-component),
not those that apply to consumers (the C-component). Not all countries have a G-component,
but those that do (15 countries in 2018) have to comply with the caps listed in Table 4.1. These
caps apply to the total amount of money that is collected from producers divided by their
total output per year. Connection charges, charges related to system services and losses are
excluded from this calculation. These caps were introduced in Regulation (EU) No 838/2010.
The development of guidelines around the harmonization of transmission tariffs was first
described in Regulation (EC) No 1228/2003, which was part of the Second Energy Package.
The main argument for a G-component in transmission access charges is that it ensures
that generators consider transportation costs in their decisions. Connection charges can guide
generators to locate where it would be cheaper to transport what they produce. Access charges
can also guide decisions to produce or consume in the period after the connection. When the
network is in a critical condition, generators can be given a signal not to produce. The imple-
mentation of a geographically differentiated G-component is limited to the UK, Ireland and
Sweden. The argument against a G-component is that generators in that country are at a com-
petitive disadvantage with respect to generators that access the European electricity market via
a country that does not have such a G-component. It is this distortion of the level playing field
that motivated the introduction of the above-mentioned caps. Moreover, locational signals can
be more effectively provided through variations in energy prices over well-defined zones (or
nodes) as described in Chapter 3.
A similar logic can be applied to distribution network tariffs. Indeed, producers increasingly
access the European electricity market through distribution grids. In our research, we made
a first attempt to calculate the spillover effects caused by distribution tariffs and concluded that
they can be significant.2 During the negotiations on the Clean Energy Package, the European
70 Evolution of electricity markets in Europe
Commission proposed harmonizing distribution network tariffs through the EU network code
process, but this proposal was dropped due to strong opposition on the part of stakeholders and
national governments.
In this subsection we introduce two open issues related to network tariffs: the treatment of
energy storage and the implementation of the cost-reflectivity principle.3
First, the treatment of energy storage. In some countries, energy storage is charged like gen-
eration and in other countries like consumption. There are also countries where energy storage
is charged for consumption and for generation, and countries that have started to treat storage
separately when it comes to network access charges. For instance, Belgium has exempted
newly connected energy storage assets from transmission charges for ten years. Charges that
apply to generators to access the European electricity market to create a level playing field
have been harmonized so the same logic could be applied to energy storage. We expect energy
storage to play an important role in the electricity system of the future, so we can expect that
debate on this issue will continue.
Second, the implementation of the cost-reflectivity principle. Regulation (EU) 2019/943
mandates ACER to come up with best practice reports on transmission and distribution network
tariffs. The regulation also states that these tariffs should become more cost-reflective, which
can include locational and time-varying signals. Historically, distribution access charges were
simple rather than cost-reflective. Consumers paid in proportion to the volume of their annual
consumption in euro/kWh. With the emergence of rooftop photovoltaic (PV) panels, electric
vehicles, heat pumps and home batteries, simple tariffs increasingly give distorted signals.
The best-known example is what happened with the large-scale introduction of rooftop PVs.
Wealthy households used to consume more so they contributed more to distribution network
costs. Today, volumetric tariffs achieve the opposite. Wealthy households can more easily
invest in rooftop PVs. In some hours of the day, these households inject the output of their PV
panels into the network, and in other hours they withdraw that energy back from the network.
If we only measure and charge on the basis of the net effect, they no longer pay for the network
they continue to use at the expense of other users who cannot afford PV panels.
Cost-reflective tariffs mean you pay for the costs you cause. This is easier said than done,
and we also do not want tariffs to become too complicated. Cost-reflectivity can become
politically sensitive if it implies different charges for urban and rural areas, or if it implies
revisiting the allocation of network costs between households and industry. Following the
Who pays for the network when trade is international? 71
In this section we first introduce transit charges and then discuss the inter-TSO compensation
(ITC) scheme that replaced them.4
First, transit charges. Who pays for the network becomes more complicated when you
introduce international trade. As discussed in the previous sections, national network tariffs
mean charging producers and consumers connected to the transmission and distribution
network when they connect or when they access the grid. However, what should be done with
traders that use the network to transfer energy from one national network to another, possibly
also crossing the networks of transit countries? Most countries introduced a so-called transit
charge to apply to cross-border transactions. This meant that traders not only needed to buy
transmission rights to be able to trade across borders, but they also had an extra transaction
cost for trading across the border.
However, cross-border transactions only cause network costs to the extent that they cause
flows. There are many more transactions than physical flows, and transactions can go both
ways across a certain border so that they cancel out and do not cause any flow or cost. It is
also possible to have physical flows across a network even if there are no transactions. Traders
can transact via another path around a country while the flow will still go through its network.
Transit charges also allowed countries to tax international trade in order to reduce their national
network tariffs. Transit charges were an obstacle to trade as they were increasing transaction
costs rather than charging the users of the grid. Therefore, they were finally abolished in 2014.
The process that led to the abolishment of transit charges is interesting, as it played out over
many years in the Florence Forum. Stakeholders started to meet informally in Florence and the
gathering was then institutionalized by the European Commission. In 2002, the 8th Florence
Forum agreed to abolish all existing transit charges while still allowing capped export charges.
Initially the cap on export charges was set at €1/MWh, but was then reduced to €0.5/MWh.
Finally, this led to their abolishment in 2004, long before roaming was abolished for mobile
phones, which received much more attention.
Second, the inter-TSO compensation (ITC) scheme. In 2002, eight European TSOs signed
a first ITC agreement. Through their associations (ETSO and later ENTSO-E), TSOs con-
tinued to develop and expand this mechanism. Under this scheme, TSOs from countries that
cause international flows by importing or exporting contribute to a fund and TSOs from coun-
tries that host international flows receive money from that fund. TSOs that pay into the fund
collect the money by increasing their national network tariffs and those that receive money
from the fund use it to lower their national network tariffs. It is a zero-sum game that pays for
the costs caused by transit flows and avoids the problems with transit charges on transactions.
Even though the principle of the ITC scheme is clear, its implementation has proven to be
challenging. To determine the size of the fund, TSOs and their national regulatory authorities
(NRAs) need to agree on the level of costs, and there are different cost-reporting practices. The
72 Evolution of electricity markets in Europe
definition of a transit has also been challenged. There can be transit flows that cross a country,
but there can also be transit flows that enter a country to run along the border and exit again.
Both would count equally as transits, but they do not cause the same level of costs. It therefore
took a long time to agree on a definitive ITC methodology. Note that transit flow is a concept
that is also used in the debate on flow-based market coupling (see Annex 3A.1 and Annex
3A.2 in Chapter 3), but the definition is not the same as in the debate on the ITC methodology.
As with G-charges in the previous section, the ITC mechanism was already part of Regulation
(EC) No 1228/2003 and it was further formalized in Regulation (EU) No 838/2010.
In other words, the ITC scheme is far from perfect but it did help to abolish transit charges,
which were worse. Sensitivities related to transit charges and the ITC scheme dominated the
debate for a long time, but gradually faded. In 2017, the ITC fund amounted to €259.3 million.
This consisted of €100 million to compensate for infrastructure costs and €159.3 million to
compensate for losses caused by transits. In comparison with the schemes we will discuss in
the next section and that have received most of the attention in recent years, the money that
circulates in the ITC mechanism is relatively small and not used to provide investment signals
but instead to allocate sunk investments costs.
In this section we first introduce the process of prioritizing projects of common interest (PCI)
in Europe and then discuss so-called cross-border cost allocation (CBCA) agreements for
these projects, which determine how network investment costs are charged across countries.
First, projects of common interest (PCIs). Following Regulation (EC) No 714/2009, TSOs
make national transmission investment plans and they are consolidated into the so-called
Ten-Year Network Development Plan (TYNDP).5 The TYNDP is one of ENTSO-E’s tasks,
and in 2018 it argued that €114 billion of investment in power lines would be needed by
2030. Regulation (EU) No 347/2013, better known as the Trans-European Energy Networks
(TEN-E) Regulation, then introduced a process in which some of these projects could become
PCIs. The list of PCIs also includes third-party projects. Third-party projects can be merchant
projects that have followed an exemption process or regulated projects from countries that
allow third parties to compete with TSOs to develop such projects. The first PCI list was pub-
lished in 2013. It is updated every two years and contains a selection of electricity transmission
lines, gas and oil pipelines, gas and electricity storage projects, electricity smart grids, and
carbon dioxide transport infrastructure. The total investment cost of the electricity projects on
the 2017 PCI list is €49.3 billion – almost half of the TYNDP investment in 2018.
To obtain PCI status, projects need to conduct a cost–benefit analysis (CBA) following
a methodology designed by ENTSO-E with supervision by ACER. They can then be ranked
on the basis of their CBA and be selected in a process that is set out in the TEN-E Regulation.
Projects with PCI status have advantages, such as accelerated permitting procedures, dedicated
financial incentives from the NRAs involved and access to the Connecting Europe Facility
(CEF). In the period 2014–2020, a total of €5.35 billion in EU funding was allocated to PCI
projects via the CEF.
Second, cross-border cost allocation (CBCA) agreements. Countries used to agree on
cross-border investments on the assumption that they would each pay for assets in their ter-
Who pays for the network when trade is international? 73
ritories. If they both benefited enough to justify these costs, they would agree to go forward
with the investment. If one of them had doubts, the project would be cancelled or delayed.
The country that was more convinced about the project then had an incentive to compensate
the neighbour. In Box 4.1 we illustrate two projects where countries started to do this on
a voluntary basis.
With the CBCA process, the TEN-E Regulation mandated ACER to act as a mediator in
these kinds of cases. TSOs make a CBCA proposal for PCIs, and if the NRAs cannot agree
ACER can intervene. This has happened twice so far, namely the Gas Interconnection Poland–
Lithuania (GILP) in August 2014 and the Lithuanian part of the Electricity Interconnection
between Lithuania and Poland (LitPol Link) in April 2015. ACER decided that a case where
the default cost allocation clearly results in a net loser, that is, a country that benefits less than
the costs it is expected to incur by investing in the assets in its territory, is not a justification
for applying for CEF funding. Instead, the other beneficiaries are first asked to compensate the
net loser for its loss, and other beneficiaries can even be third countries which do not host any
of the assets in their territory but clearly benefit from the projects. Only in the GILP case did
ACER allocate costs beyond the hosting countries, according to its principle of compensating
net losers. In the case of the LitPol Link, ACER decided not to allocate costs to non-hosting
countries because there was no net loser.
Our research provides a more detailed discussion of these cases because we had the pleasure
of advising ACER in this process. Note that the allocation of CEF funding by the European
Commission remains controversial. The CBA and CBCA process tried to reduce the politics,
but the impression is that this has only been partly accomplished.
Norway is divided into five bidding zones because it has structural congestion within the
country. In dry years, the energy supply within each bidding zone can be very tight. This is
the case in mid-Norway, but the situation worsened in 2005 because of new industrial con-
sumption. The situation became critical in the following dry year. The easiest and quickest
solution for Norway was to increase the interconnection capacity between mid-Norway
and Sweden (line A on the left-hand side of Figure 4.1). This is a 100-km-long 420 kV AC
line between Nea and Järpströmmen, which was commissioned in 2009. Seventy-five per
cent of the assets are in Swedish territory. Line B, the line in Norwegian territory (on the
left-hand side of Figure 4.1) was expected to increase the available capacity on line A from
200 to 750 MW so that Sweden would also benefit from the cross-border exchange, but line
B was less advanced. Norway therefore agreed to compensate Sweden for line A until line
B was ready.
The compensation incentivized Sweden to speed up the development of line A, and also
incentivized Norway to speed up the development of line B. The TSOs involved entered
into a formal contract, which was approved by their NRAs.
74 Evolution of electricity markets in Europe
Figure 4.1 The Norway–Sweden case (left) and the Italy–Greece case (right)
In 2002, a 500 MW submarine high voltage direct current (HVDC) link between Greece
and Italy (GRITA) was commissioned (see the right-hand side of Figure 4.1). Italy paid for
and owns 75 per cent of the project and Greece the remaining 25 per cent. The project also
received an EU grant, so this CBCA agreement only applied to part of the project costs.
The project allows Italy to import cheaper electricity from eastern European countries, like
Albania and Turkey, via Greece.
This CBCA showcases innovation, with parties deviating from the common 50:50 cost
sharing for an interconnector. It is a typical case in which a transit country (Greece) is com-
pensated to jointly develop a project with its neighbour (Italy).
4.5 CONCLUSION
In this chapter on network cost allocation when trade is international, we have answered four
questions.
First, who pays for the network? The common practice today for electricity networks is that
they are mostly paid for by the network users. There are two types of network tariffs: connec-
tion charges and network access charges.
Second, why did national network tariffs start to be harmonized? Transmission network
tariffs were somewhat harmonized by Regulation (EU) No 838/2010, which introduced a cap
on access charges for generators. Currently, how to apply network tariffs to storage and how to
implement the cost-reflectivity principle in distribution network tariffs are open issues.
Third, why was there a move away from transit charges? Transactions do not cause network
costs – only flows do; so transit charges were increasing transaction costs rather than charging
the users of the grid. Under the inter-TSO compensation scheme, TSOs pay in proportion to
the international flows they cause and receive money in proportion to the international flows
they host.
Fourth, how to share network investment costs between countries? Each country used to
pay for the assets on its territory even if it was not the main beneficiary. Following the TEN-E
Regulation, projects can receive project of common interest status. PCIs have several advan-
Who pays for the network when trade is international? 75
tages, including the cross-border cost allocation (CBCA) process in which ACER can mediate
in projects to reach a better cost allocation that can help unblock them.
NOTES
1. In ENTSO-E (2018) there is an overview of transmission tariffs in Europe. This report is updated
every year and the facts and figures on transmission tariffs quoted in this chapter come from this
report. In Ruester et al. (2012) we provided an academic discussion on transmission tariffs and the
possible role of the EU.
2. In Govaerts et al. (2019) we provided a first analysis of the spillover effects of distribution grid
tariffs in the internal electricity market. A simplified numerical example is used to give insight into
the order of magnitude of the spillovers and the main sensitivities that drive these effects.
3. In Schittekatte et al. (2018) and Schittekatte and Meeus (2020) we discuss why future-proof
distribution tariffs need to anticipate the behaviour of households in response to price signals. We
also discuss the distributional effects of tariffs by analysing their impact on active versus passive
customers. Our colleagues from Comillas and MIT have also done a very interesting analysis on this
topic in the ‘Utility of the Future’ study by the MIT Energy Initiative (2016). In CREG (2018) and
Ofgem (2019), the treatment of energy storage for transmission network tariffs is discussed in detail.
4. In ACER (2018b) and ENTSO-E (2019a) there is detailed information on the ITC mechanism.
These reports are updated every year with the latest statistics. For more background, refer to
ERGEG (2006). Also interesting is academic work on the topic. Olmos and Pérez-Arriaga (2007),
Pérez-Arriaga et al. (2002) and Daxhelet and Smeers (2007) analyse the different options that have
been considered to implement the ITC scheme. In the conclusions of the 8th and 10th Florence Fora
published by the European Commission (2002, 2003), the gradual abolishment of transit charges
can be observed. The prominence of this issue on the agenda over many years can also be seen from
the conclusions of the earlier Florence Fora.
5. The TYNDP is described in ENTSO-E (2019b). The TYNDP is updated every two years. ACER
(2018a) reports on the two-yearly PCI list. European Commission (2018) is an example of a press
release related to the Connecting Europe Facility (CEF) funding scheme. In Keyaerts et al. (2016)
and Meeus et al. (2013) we gave our recommendations for the development of the cost–benefit
analysis (CBA) methodology that is used for PCIs in Europe. We also supported ACER in its
approach to cross-border cost allocation (CBCA) (ACER, 2015b). In Meeus and He (2014) we
made recommendations to ACER when it was given the CBCA mandate. We argued that ACER
could only intervene in certain cases to encourage stakeholders to come forward with innovative
approaches. The examples shown in Box 4.1 originate from that policy brief. One year later, in
Meeus and Keyaerts (2015) we also evaluated the first cases that were treated by the ACER. In
Keyaerts and Meeus (2017) we provide case studies on countries that decided to introduce dedicated
financial incentives for priority projects. In Bhagwat et al. (2019) we updated our CBA and CBCA
analysis with a focus on the implications for meshed offshore transmission networks to support
the development of wind power. In Schittekatte et al. (2020) we provide recommendations on how
to revise the TEN-E Regulation to be aligned with the objectives of the European Green Deal.
Furthermore, for a study on how the incentives of national TSOs are not necessarily aligned with
the overall European welfare when deciding about building an interconnector, see the work of Matti
Supponen (2011). Finally, for deeper discussions about the implications of the Trans-European
Energy Networks (TEN-E) Regulation and its importance, see the book edited by Jean Arnold
Vinois (2014). For more details about the two ACER decisions, please consult ACER (2014,
2015a).
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78 Evolution of electricity markets in Europe
Suppose that the day-ahead market auction for a certain hour results in a price in zone A of
€50/MWh and a price in zone B of €60/MWh. The satisfied demand in zone A is 100 MWh,
that in zone B is 150 MWh and 50 MW of transmission rights are used to trade between
the two zones in that hour. In this case, electricity flows from the low-price zone (A) to the
high-price zone (B). There is a price difference, which means that the transmission rights have
been fully utilized but they were not enough to create a single price zone. The rights therefore
have a value and congestion rent is collected, as is illustrated in Table 4A.1.
The total income for generation over the two zones is €13 500 while the total amount spent by
demand equals €14 000. The difference between the two is the congestion rent of €500, equal-
ling the price differential between the two zones (€10/MWh) multiplied by the capacity of the
line (50 MW). This congestion rent is transferred to the TSO(s) owning the interconnector.
There are strict rules around the use of congestion rent in the EU. Congestion rent should be
used to invest in the network; only if the revenues cannot be used efficiently for investments
can they be used to lower the national transmission network tariffs.
Who pays for the network when trade is international? 79
In this chapter, we answer four questions. First, how to share responsibility between system
operators? Second, how to incentivize market parties to be balanced? Third, how to ensure that
reserves are available? And fourth, how to integrate balancing markets across borders?
In this section, we first explain why primary, secondary and tertiary control have been renamed
as the frequency containment, frequency restoration and reserve replacement processes. We
then discuss in more detail how the balance responsibility between system operators is shared
in each of these three processes. We also refer to a clock incident that illustrates the fragility
of the shared responsibility.
The ‘primary’, ‘secondary’ and ‘tertiary’ control terminology is included in all power system
engineering handbooks. The various synchronous areas in Europe also applied this terminol-
ogy, but they had their own detailed definitions which did not align. The five synchronous
areas in Europe are Continental Europe (CE), the Nordics, the Baltics, Great Britain and
Ireland.
We worked as consultants for the European Commission in 2006 and were involved
in Babylonian discussions between experts from the Union for the Coordination of the
Transmission of Electricity (UCTE) and the Nordic Cooperation of Electricity Utilities
(NORDEL), the former bodies for cooperation between transmission system operators (TSOs)
in CE and the Nordics respectively. We did not recommend the name change, but we under-
stand why it became part of the solution. Table 5.1 introduces the new terminology and maps it
onto the historical concepts of primary, secondary and tertiary control. In the remainder of this
chapter, we use the new language of frequency containment, frequency restoration and reserve
replacement introduced in 2017 in the System Operation Guideline (SO GL).
Following the Electricity Balancing Guideline (EB GL), also introduced in 2017, a limited
number of standard balancing energy products were defined per balancing process. There is
one standard automatic frequency restoration reserves (aFRR) product, two standard manual
frequency restoration reserves (mFRR) products (direct and scheduled activation), and one
standard replacement reserves (RR) product.1 The Agency for the Cooperation of Energy
Regulators (ACER) was in favour of limiting the number of standard balancing energy prod-
84
Who is responsible for balancing the system? 85
Note: The mapping of names is indicative. Due to different operational practices a perfect one-on-one mapping
is not possible.
ucts during the EB GL drafting process, while the European Network of Transmission System
Operators for Electricity (ENTSO-E) proposal was to keep several products. The standardized
products, however, include standardized and non-standardized characteristics. A standardized
characteristic of a standard mFRR product is, for example, its full activation time and an
example of a non-standardized characteristic is the minimum duration between deactivation
and the following activation. Countries can also choose to introduce so-called specific balanc-
ing products, which are balancing services that can be used locally, to complement the stand-
ardized European products that will be exchanged across borders. To what extent countries
will use specific balancing products and to what extent the non-standardized characteristics of
the standard products will diverge is an open issue.
The frequency containment process is the first response to a frequency deviation when an
imbalance occurs. In each of the synchronous areas in Europe, this first response is an auto-
matic joint reaction by all the control areas in the synchronous area.
As is discussed in Box 5.1, frequency containment reserves (FCR) are dimensioned to
handle a so-called reference incident. Traditionally, this was the loss of the largest generation
unit. The probability that countries lost their largest unit at the same time was very low, so they
benefited from pooling their FCR requirements into a solidarity mechanism. Each synchro-
nous area already had a solidarity mechanism, and the SO GL formalized these mechanisms.
Without such a mechanism, each TSO responsible for a control area would have to procure
enough FCR to be able to handle the loss of its largest generator. For France, this would
imply doubling or even tripling the procured volume of FCR. For a smaller control area like
Belgium, it would imply increasing FCR procurement tenfold.
86 Evolution of electricity markets in Europe
In UCTE, dimensioning primary control was based on a reference incident which defined
the maximum instantaneous power deviation between generation and demand to be han-
dled by primary control starting from undisturbed operation. This reference incident was
defined as 3000 MW, as was the primary control reserve in both the positive and negative
directions. This meant that a generation load imbalance of that size could be absorbed
without frequency deviations exceeding 200 mHz. The capacity chosen corresponded to the
simultaneous loss of two large units of around 1500 MW each. The provision of primary
control was a joint action involving generating units and loads spread evenly across the
interconnected network. The various countries’ contributions to the total primary regulation
reserve were determined on an annual basis and distributed in proportion to the share of the
energy generated in one year in the entire synchronous area.
In NORDEL, frequency-controlled reserves were split into normal operation reserves
and disturbance reserves. At least 600 MW of normal operation reserves needed to be
available at all times. These reserves were to be fully activated if the frequency deviation
from the nominal frequency exceeded 100 mHz. Contributions to the normal operation
reserves of the subsystems in the synchronous system were determined based on the annual
consumption in the previous year. The division was updated once a year. The volume and
composition of the disturbance reserves were dimensioned in such a way that a dimen-
sioning fault would not cause a frequency below 49.5 Hz in the synchronous system. The
disturbance reserves were distributed among the countries in proportion to their respective
dimensioning faults, for example the loss of a large generating station, and the division was
updated once a week, or more often if necessary.
Note: Box 5.1 is based on NORDEL (2006) and UCTE (2009). The contribution of each country to the FCR
solidarity mechanism can be found in Artelys (2017).
The definition of the reference incident is increasingly being questioned. Following the SO
GL, the reference incident for CE was defined as 3000 MW, which is the same as the historical
value shown in Box 5.1. The value is also the same for upward and downward FCR. In the
decentralizing power system the biggest generation unit has not increased, but we increasingly
have incidents involving new interactions between the smaller units, as will be shown in
Chapter 6. Whether this will lead to the definition of a new reference incident is an open issue.
The frequency restoration process starts directly after the frequency containment process. This
second response to a system imbalance is organized in so-called load frequency control (LFC)
areas. The LFC area is generally equal to the TSOs’ control area. Following the SO GL, TSOs
can decide to jointly operate the frequency restoration process in an LFC block spanning more
than one LFC area within a synchronous area. At the time of writing, most TSOs have not yet
done this. The restoration of an imbalance is therefore typically done by the relevant TSO in
the control area where the imbalance originates.
Who is responsible for balancing the system? 87
Frequency restoration reserves (FRR) are used to restore the frequency within a predefined
time. First, automatic FRR (aFRR) and later manual FRR (mFRR) are activated to relieve FCR
and aFRR respectively. aFRR are automatically activated by a controller operated by the TSO;
mFRR are activated upon a specific manual request by the TSO.
Reactive balancing means that the TSO relies on market parties to balance themselves
through intraday markets. The TSO does not try to anticipate imbalances by activating
reserves before a frequency deviation takes place and the frequency containment and fre-
quency restoration processes kick in. This means that the balancing price can spike in periods
in which market parties have not managed to balance themselves in the intraday market. This
typically implies that there is much activity in the intraday market and market parties are
incentivized to help the system operator to balance the system. Most residual imbalances are
handled with aFRR.
The reserve replacement process involves the slowest type of reserves, which can need 30
minutes to be fully activated. The TSOs that have replacement reserves (RR) often rely less on
aFRR and apply a proactive balancing approach. They try to anticipate imbalances by activat-
ing RR before the frequency containment and restoration processes kick in.
Proponents of proactive balancing argue that it increases system security, which is espe-
cially important in more isolated and inflexible power systems. They also argue that the
cost of balancing is reduced by using cheaper RR instead of the more expensive FRR. The
counter-argument is that a proactive approach does not create enough incentives for market
parties to be balanced and invest in assets that can help balance the system. We will come back
to this later in this chapter, and also in Chapter 7 when we discuss the missing money problem.
The EB GL and the SO GL do not explicitly rule on proactive versus reactive balancing, but
they implicitly favour reactive balancing. A key concept in the codes is the balancing energy
gate closure time (GCT), which has been capped at one hour before real time in Europe.
Following the codes, market parties can submit balancing energy bids up to the GCT, and
TSOs cannot activate balancing energy bids prior to this GCT. This seems to limit TSOs to
balancing proactively, but there are exceptions. Several countries have also started to make use
of these exceptions to continue with proactive balancing. How this will evolve is very much
an open issue.
The fragility of the shared balance responsibility between system operators in Europe surfaced
in 2018. Many clocks depend on a stable frequency of 50 Hz to run correctly, but the average
frequency had been 49.996 Hz for several weeks. Clocks accumulated a delay of about six
minutes, which was the first time that electricity balancing reached the mainstream media.
ENTSO-E had to face the media to explain how a dispute in south-eastern Europe could
cause clock delays in the whole European continent.2 The dispute was between Serbia and
Kosovo in the LFC block of Serbia, North Macedonia and Montenegro (SMM block). The
system had been short, and had not been fully restored, with a total of 113 GWh missing.
88 Evolution of electricity markets in Europe
The dispute lasted several weeks. After it was resolved the TSOs decided to catch up by
maintaining a frequency of 50.01 Hz for some weeks. This corrected the delayed clocks,
except those that had already been restored manually, which were now running several
minutes ahead.
In this section, we explain balance responsible parties (BRPs) and the imbalance settlement.
In principle all market parties have balance responsibility. They can take this responsibility
themselves or delegate it to a third party. In what follows, we discuss exceptions and whether
this responsibility applies at the unit or portfolio level.
First, exceptions to balance responsibility. Renewable energy projects have often been
exempted from balance responsibility. They received feed-in tariffs so that they did not have
to worry about wholesale market prices or balancing prices. They just injected whatever they
could into the system and got paid for it. Forecasting was a problem for system operators, who
had to handle forecasting errors. There were no incentives for these new entrants to help in
that process. Following Regulation (EU) 2019/943, this is no longer possible. Only three types
of grid users can still receive a derogation: demonstration projects for innovative technologies
(limited in time); installations benefiting from support approved by the Commission under
Union state aid rules (commissioned before 4 July 2019); and renewable generation with an
installed electricity capacity of less than 400 kW (commissioned before 1 January 2026). For
renewable generation commissioned after 1 January 2026, the derogation can only apply to
installations with an installed electricity capacity of less than 200 kW.
Second, balance responsibility at the unit or portfolio level. The decentralized market model
in Europe entails that balance responsibility is defined at the portfolio level, typically within
a bidding zone. This gives market parties the possibility of deciding how to dispatch their
power plants. Some countries require market parties to balance their generation and consump-
tion portfolios separately, while other countries allow mixed portfolios. There are also excep-
tions. A few countries still have a more centralized market model, which is often combined
with central dispatch and balancing responsibility at the unit level. Note that with smaller
bidding zones (see the discussion in Chapter 3), the difference between portfolio bidding and
unit bidding becomes smaller. Even if there is portfolio bidding, with nodal pricing a BRP is
likely to only have a single unit or a very small portfolio in a certain node. If nodal pricing
were only applied to the transmission network, the portfolio would become the resources
connected to the distribution grid behind the transmission node.
In what follows we discuss the main design parameters in the imbalance settlement mecha-
nism: the imbalance settlement period and dual as opposed to single pricing.
Who is responsible for balancing the system? 89
First, the imbalance settlement period (ISP). The ISP is the unit of time over which the
imbalance of a BRP is calculated. The ISPs in Europe range from 15 minutes (e.g. in the
Netherlands) to one hour (e.g. in Poland). This means that a BRP in Poland can be short in
some quarters of an hour and long in other quarters of the same hour without paying balancing
costs. In the Netherlands, the same BRP will face the costs for both imbalances. The more
BRPs face the costs they cause, the more they are incentivized to be balanced. The balancing
costs that cannot be allocated to BRPs are socialized by TSOs through their transmission
network tariffs. The EB GL states that all EU countries shall apply an ISP of 15 minutes within
three years of the entry into force of the regulation, although it leaves some room for excep-
tions. Regulation (EU) 2019/943 also states that the goal is a 15-minute ISP and adds that ISPs
shall not exceed 30 minutes from 1 January 2025, with no exceptions.
Second, dual versus single pricing. Dual pricing implies that BRPs that are unbalanced in
the direction of the system imbalance pay the costs of the balancing services that need to be
activated, often plus a penalty. The argument for the penalty is that market parties that are
unbalanced put the system in danger, so they need an extra incentive to avoid imbalances.
Dual pricing also implies that BRPs that are unbalanced in the opposite direction to the system
imbalance are not remunerated in the same way as the balancing services that are called upon
by the system operator. For instance, if a BRP is helping the system operator to solve a short-
age with its imbalance, its remuneration will be capped at the day-ahead price in wholesale
markets. Single pricing means no penalties and the same remuneration for activated balancing
services and BRPs that are unbalanced in the opposite direction to the system imbalance.
In our research we have long been advocating single pricing. Dual pricing is a legacy from
the past in which balancing was a mechanism rather than a market. Dual pricing increases
prices in wholesale markets because BRPs are incentivized to buy more than they need to
reduce the risk of being short in balancing markets and facing penalties. BRPs will also keep
reserves for themselves instead of offering them to the system operator. Dual pricing therefore
favours larger players that have reserves over new entrants that rely on the balancing markets.
We have also shown that dual pricing in one country can have negative consequences for
a neighbouring country because it incentivizes BRPs to move their imbalances across the
border to escape penalties.3
The EB GL clearly states that prices should reflect the real-time value of energy and favours
single pricing over dual pricing. However, following the EB GL, dual pricing is possible as
an exception. At the time of writing, some countries still use penalties, but their number has
decreased. Note that in terms of the geographical dimension, the imbalance price or prices
are calculated per imbalance price area. In this regard, Regulation (EU) 2019/943 states that
each imbalance price area shall be equal to a bidding zone. An exception to this is the case of
a central dispatching model, where an imbalance price area may constitute a part of a bidding
zone.
In this section, we first discuss balancing capacity tenders, then balancing energy markets, and
lastly the related issue of scarcity pricing in balancing markets.
90 Evolution of electricity markets in Europe
In this subsection, we first discuss whether TSOs can own balancing services, and then discuss
how they tender for balancing capacity.
First, TSO ownership of balancing services. TSOs have in exceptional cases been allowed
to own pumped hydro plants and batteries. However, this creates a conflict of interest between
the TSO as the single buyer of balancing services and the TSO as one of the players in this
market. Directive (EU) 2019/944 ruled out TSO ownership of energy storage assets, with
possible derogations under specific circumstances. TSO ownership of generation assets has
already been addressed with the unbundling process, which we referred to in Chapter 1.
Second, TSO tenders for balancing capacity. Market parties that offer balancing services
are called balancing service providers (BSPs). They used to mainly be gas-fired power plants,
which preferred longer-term contracts and could provide upward and downward services in
one contract. This was nicely aligned with the interests of the system operators, who like
simplicity and security. Renewable energy players can more easily provide downward than
upward balancing services, and for aggregators of demand flexibility the opposite applies.
Both prefer separate procurements for upward and downward balancing services. They also
prefer tenders closer to real time, when they have a better idea of the services they can provide.
Some even prefer to offer balancing energy bids without balancing capacity reservation. In
some countries this was not possible; in other countries it was not appealing because whoever
won a balancing capacity tender had to provide balancing energy bids at the low price agreed
upon in the tender.4
To create a level playing field between incumbent and new players in balancing markets,
many changes were needed. They increased the complexity of balancing markets but also
improved their competitiveness and reduced the costs. This is an ongoing process. Regulation
(EU) 2019/943 contains provisions to gradually move away from yearly and monthly contracts
towards shorter-term day-ahead tenders. The EB GL states that the balancing energy price
should not be predetermined in the balancing capacity contract for standardized products.
This rule is reiterated in Regulation (EU) 2019/943. The EB GL also states that upward and
downward balancing capacity should be procured separately for FRR and RR. A temporary
exception to this rule can be requested. In Chapter 8, we will come back to the specific issues
related to flexible generation, demand and storage resources connected to distribution grids
and their participation in balancing markets.
In what follows, we introduce the main balancing energy market controversies: merit-order
activation versus pro-rata activation; and marginal pricing versus pay-as-bid pricing.
First, merit-order activation versus pro-rata activation. As discussed above, many TSOs
relied on balancing capacity tenders to secure reserves. They did not always have a balancing
energy market to procure aFRR, mFRR or RR closer to real time. The price at which they acti-
vated reserves was often agreed upon in a balancing capacity contract. The contracted reserves
also contributed to solving an imbalance in proportion to their size without distinguishing
between delivery costs, that is, pro-rata activation. Under pro-rata activation, efficient pricing
and enabling competition for the provision of balancing energy is an issue. Therefore, the EB
Who is responsible for balancing the system? 91
Here, we first introduce the ‘missing money’ problem related to balancing capacity tenders,
and then discuss the scarcity pricing solution that has been proposed.6
First, the missing money problem. ACER and CEER’s market monitoring found that in
most of Europe balancing capacity is remunerated more than balancing energy, and imbalance
settlement prices only recover the balancing energy costs. This means that most balancing
costs are socialized through transmission network tariffs. It also means that BRPs are not ade-
quately incentivized to be balanced, and BSPs are not adequately incentivized to invest in flex-
ible assets. We already mentioned that this is an issue when discussing proactive balancing.
Balancing capacity tenders are an additional source of missing money in balancing markets.
Second, the solution. In Chapter 7 we will show that capacity mechanisms have been pro-
posed as a solution to compensate investors for the missing money problem. Another solution
is to reform balancing markets so that there is no missing money. The reform is referred to as
operating reserve demand curves (ORDC). It was proposed by academics and tested for the
first time in Texas in 2014. In Europe, the GB regulator Ofgem has applied a similar concept,
and the Belgian regulator CREG has started looking into it. The idea is to include an uplift
in the imbalance settlement pricing mechanism. When the system is short of reserves, the
uplift can increase to a very high value that represents the willingness of customers to avoid
being cut off from the system. When there are enough reserves in the system, the uplift goes
to zero. Note that the penalties we discussed in the previous section were also a kind of uplift.
However, they often disregarded system conditions and were designed to punish BRPs for
imbalances rather than to correct the scarcity price signal in balancing markets. The penalties
were also often combined with asymmetric incentives to BRPs and BSPs, while the uplift in
the ORDC approach applies symmetrically to BRPs and BSPs. The EB GL mentions that an
92 Evolution of electricity markets in Europe
additional settlement mechanism may be developed to allocate the costs of balancing capacity.
To what extent this will be done is an open issue.
In this section, we first recall why the integration of balancing markets was started. We then
discuss the ongoing integration of balancing markets with imbalance netting, the exchange of
balancing energy, the exchange of balancing capacity and sharing of reserves. We end with
open issues in congestion management in balancing markets.
In the previous section, we discussed how ongoing changes to national balancing markets are
helping to bring new players into these markets. In this section, we discuss how the integration
of balancing markets across national borders is also helping to reduce balancing costs.
In Chapter 2 we referred to the Sector Inquiry published in 2007. We also discussed how
this inquiry helped to accelerate the integration of wholesale markets across borders. Table
5.2 shows why it did the same for balancing markets by revealing the alarming level of
concentration in national balancing markets between 2003 and 2005. Even countries that had
relatively well-functioning wholesale markets had problematic balancing markets. At the time
of the inquiry, TSO unbundling was also limited. The concern was therefore that TSOs were
not motivated enough to change the situation because they were in some cases part of the same
holding company as the generators profiting from the situation.
The integration process for balancing started after the wholesale process, but it proceeded
faster. The Nordics were the first to create a cross-border balancing market in Europe. Other
European TSOs followed with several pilots, and the ambition increased further during the
drafting process of the EB GL. The drafts referred to coordinated balancing areas (CoBAs).
They were going to be regional initiatives that would be slowly merged over time, like the
process that had been followed for wholesale markets as described in Chapter 2. ENTSO-E
was also proposing a minimalistic approach to balancing market harmonization. ACER argued
for harmonized products and integration through European platforms instead of CoBAs, and
the final version of the EB GL leans towards ACER’s view. Earlier in this chapter, we showed
that we have standardized products. In what follows, we introduce the European platforms.7
As discussed earlier in this chapter, the first response to a frequency deviation is a shared
responsibility (i.e. frequency containment), but the second response (i.e. frequency restora-
tion) is generally the responsibility of the TSO from the control area that caused the frequency
deviation. This implies that one TSO might have a positive imbalance to solve while a neigh-
bouring TSO has a negative imbalance at the same time. Until recently, both TSOs would then
activate balancing services: one would balance upwards; the other downwards. Imbalance
netting simply means they stop doing this and only take action to solve the net imbalance.
The TSO with the residual net imbalance then still has to activate balancing services, but it
Who is responsible for balancing the system? 93
Table 5.2 Market shares of the largest BSP for FRR between 2003 and 2005
UK ≈19% DK ≈88%
NL ≈39% FR ≈91%
ES ≈44% DE ≈93%
CZ ≈53% AT ≈100%
IT ≈78% HU ≈100%
SI ≈86%
Source: Author’s own table based on a graph from the Sector Inquiry (European Commission 2007).
is cheaper than solving the gross imbalance. The other TSO does not have to do anything.
Of course, netting can only take place if there is enough transmission capacity available to
accommodate the associated flows.
In our research, we found that the potential for Belgium and the Netherlands was significant.
The International Grid Control Cooperation (IGCC) project confirmed the benefits. The IGCC
is an initiative by the four German TSOs that grew into the biggest balancing pilot for imbal-
ance netting. More specifically, the IGCC avoids the activation of aFRR in opposite directions
on different sides of a border in the case that there is interconnector capacity available in the
right direction. Between 2012 and 2019, the accumulated benefit from this pilot was €475
million. And this with a cost of only €20 million for setting up the platform and an annual
cost of €1 million to run it. There were also smaller pilots running in parallel that confirmed
the potential of imbalance netting prior to the EB GL. However, it was later agreed that the
IGCC would be used as the starting point for the implementation of a European platform for
imbalance netting according to the EB GL. In January 2020, the IGCC was operational in 11
countries (13 TSOs). The initiative is quickly expanding as the EB GL mandates that the plat-
form shall be used to perform the imbalance netting process for at least the CE synchronous
area. The EB GL mandates that the platform shall be used to perform the imbalance netting
process for at least the CE synchronous area. It is foreseen that TSOs in synchronous areas
other than CE performing the automatic frequency restoration process (aFRP) may decide
to become member TSOs of the European platform at a later point in time. Netting strongly
reduces the need for balancing. As an illustration, in 2017, imbalance netting reduced Latvia’s
need for aFRR balancing energy by 55 per cent and the Netherlands’ need by 83 per cent.8
The Nordics TSOs have been exchanging balancing energy for mFRR since 2002. More
recently, balancing pilots have also been set up by the other TSOs. The main aFRR pilot was
called EXPLORE (European X-border Project for LOng-term Real-time balancing Electricity
market design), and the RR pilot was called TERRE (Trans-European Restoration Reserves
Exchange).
Positive experience with these pilots inspired the EB GL drafters to set up European
platforms for the exchange of aFRR, mFRR and RR. The EB GL did foresee the develop-
ment of detailed implementation frameworks for each of these platforms, and TSOs have
already started with their establishment. The aFRR platform is called PICASSO (Platform
for the International Coordination of Automated Frequency Restoration and Stable System
94 Evolution of electricity markets in Europe
Operation). It was initiated in July 2017 and involved 16 TSOs (plus 10 observers) by the end
of 2019. PICASSO builds further on the work done in the EXPLORE regional project. The
mFRR platform is called MARI (Manually Activated Reserves Initiative). The RR platform is
called TERRE, which is the same name as the balancing pilot it is based on. TERRE is the only
balancing platform that has been launched as of January 2020. At that time, 8 TSOs (plus 6
TSO observers and ENTSO-E) were involved. In January 2020, ACER also adopted decisions
regarding the implementation frameworks for the other platforms.
Note that BSPs will continue to submit their balancing energy bids to the TSO of their
control area. The TSOs will then submit the bids to the European platforms. This way of
working is referred to as the TSO–TSO model. The EB GL states that this is the model for
exchanging balancing bids, with possible exceptions where two or more TSOs on their initia-
tive or on request by their relevant regulatory authorities develop a proposal for the application
of a TSO–BSP model. The alternative TSO–BSP model means that BSPs can submit their bids
to another TSO without passing through their own TSO. This then assumes that the BSPs can
purchase and use transmission rights for this purpose. The EB GL only allows alternative pro-
posals applying a TSO–BSP model as temporary solutions, except for certain circumstances
related to TSOs operating the replacement reserves process.
The EB GL requires each TSO to publish a balancing report at least every two years. In this
report the TSO is asked to analyse the potential for exchange of balancing capacity and sharing
of reserves and to put forward explanations and justifications for the procurement of balancing
capacity without the exchange of balancing capacity or sharing of reserves. This means that
much more information will be available, but the initiatives remain voluntary.
The exception is sharing of reserves for FCR, which is mandatory and already exists for
FCR, as was shown in Section 5.1.2. This implies that countries decide together the total
amount of FCR to procure and how to share the responsibility between them. In fulfilling this
responsibility, they can procure FCR locally or they can decide to exchange balancing capacity
across borders. A balancing pilot was set up between the Austrian TSO and the Swiss TSO to
exchange FCR capacity in 2013. This pilot was successful and currently the Belgian, Danish,
Dutch, French and German TSOs are also part of the FCR cooperation project. In 2019, the
project was formalized according to the EB GL.
Note that the SO GL required all the TSOs in a synchronous area to jointly develop a pro-
posal regarding the determination of LFC blocks. In many cases, the LFC block equals the
LFC area, which is equal to the control area. Exceptions are the Nordics, Ireland and Great
Britain, where the LFC block equals the synchronous area. Germany, Luxembourg and West
Denmark are also exceptions. They form an LFC block consisting of several LFC areas.
The same applies to Slovenia, Croatia, and Bosnia and Herzegovina and to Serbia, North
Macedonia and Montenegro. For these exceptions, the SO GL states that FRR has to be
dimensioned per LFC block. The TSOs involved then have to agree on the volume to reserve,
the ratio between aFRR and mFRR, and the sharing of responsibility. The SO GL also sets out
rules for dimensioning and sharing of RR for LFC blocks in which all the TSOs make use of
RR. These rules are similar to those for FCR, which apply to all TSOs. Following Regulation
(EU) 2019/943, regional coordination centres (RCCs) will facilitate regional dimensioning
Who is responsible for balancing the system? 95
and the procurement of balancing capacity. RCCs were briefly introduced in Chapter 3 and
will be discussed in more depth in Chapter 6.
There are three open issues in congestion management in balancing markets: reserving avail-
able transmission capacity for balancing markets; filtering balancing bids; and the interaction
with redispatching or flexibility markets.
First, the reservation of available transmission capacity for balancing markets. The EB GL
requires all TSOs to use available cross-zonal capacity after the cross-zonal intraday gate
closure for operating the imbalance netting process or for the exchange of balancing energy.
The EB GL also foresees the possibility of reserving available transmission capacity for the
exchange of balancing capacity or sharing of reserves for FRR and RR. Nothing is specified
regarding imbalance netting or the exchange of balancing energy. Note that available trans-
mission capacity is already reserved for FCR. The so-called reliability margin on transmission
lines is to account for FCR. To what extent it is opportune to do additional reservation is very
much an open issue.
Second, filtering balancing bids. The SO GL foresees distribution system operators (DSOs)
being able to filter balancing bids from BSPs connected to distribution grids. If they fear
that certain bids may cause congestion when called upon by TSOs, they can disqualify them.
Whether this will result in penalties being paid to the TSO by the BSP and/or paid to the BSP
or the TSO by the DSO is an open issue. The SO GL also allows TSOs to filter bids. They do
not have to forward all the BSPs’ bids to the European platforms. If they fear that certain bids
may cause congestion when called upon by neighbouring TSOs, they can also disqualify these
bids. Filtering balancing bids is a new issue that has emerged in the ongoing balancing market
integration process.
Third, the interaction between balancing markets and redispatching or flexibility markets.
Redispatching actions by TSOs were covered in Chapter 3. They imply that fewer resources
are available for balancing. Redispatching can be done by activating an upwards balancing
bid in one location and a downwards balancing bid in another location. It can also be done by
countertrading in the intraday markets. The TSO then procures energy in the intraday market
in one location to sell the same amount in another location. Some TSOs also procure redis-
patching resources in a separate market, possibly in cooperation with DSOs, which have also
started to use flexibility to manage congestion in their grids. How congestion management
in balancing markets, redispatching markets and flexibility markets will evolve is very much
an open issue. We will come back to the topic of TSO–DSO coordination in balancing and
congestion management in Chapter 8.9
5.5 CONCLUSION
In this fifth chapter on who is responsible for balancing the system, we have answered four
questions.
First, how to share responsibility between system operators? The first response to a fre-
quency deviation in Europe is referred to as the frequency containment process with frequency
containment reserves. This first response is also a joint response with a solidarity mechanism
96 Evolution of electricity markets in Europe
in each synchronous zone. The second response is referred to as the frequency restoration
process with automatic and manual frequency restoration reserves. This second response is
typically per control area and performed by the TSOs in the zone with the imbalance that
caused the frequency deviation. TSOs can also choose to share this responsibility by organiz-
ing themselves in so-called load frequency control areas and blocks that are bigger than one
control area. TSOs can anticipate frequency deviations and resolve imbalances before they
occur by activating RR, which is referred to as proactive balancing, as opposed to reactive
balancing. The EB GL default is reactive balancing, but proactive balancing is still possible.
Second, how to incentivize market parties to be balanced? All market players either take on
the balance responsible party role or delegate this responsibility to a third party. Renewable
energy players can no longer avoid this responsibility. The only exceptions are for very
small-scale and/or innovation demonstration projects. The imbalance settlement is becoming
more cost-reflective with single pricing instead of dual pricing, and with smaller imbalance
settlement periods.
Third, how to ensure that reserves are available? Many changes had to be made to balancing
markets to create a level playing field between the traditional balancing service providers and
new players. Balancing energy markets are becoming more important. At least for standard
energy balancing products, these markets will apply marginal pricing and the bids will be
activated following a merit order. Shorter-term balancing capacity tenders can continue. To
avoid the missing money problem, the costs of these tenders can be included in a scarcity price
signal through an uplift on top of the balancing energy price in periods when the system is
short of reserves.
Fourth, how to integrate balancing markets across borders? Imbalance netting has proven
to be very beneficial and relatively easy to implement. In line with the EB GL, TSOs have
started to set up European platforms to exchange balancing energy. Their names are PICASSO
(aFRR), MARI (mFRR) and TERRE (RR). Congestion management in balancing markets
is also an open issue. This includes reserving available transmission capacity for balancing,
filtering of balancing bids and the interaction between balancing markets and redispatching
and flexibility markets.
NOTES
1. There is no standard FCR balancing energy product. FCR is paid for reserved capacity rather than
activated volume.
2. More details can be found in the ENTSO-E press releases (2018a, 2018b, 2018c).
3. Saguan and Glachant (2007) were pioneers in the study of balancing market design, the negative
impact of dual pricing in balancing markets on wholesale prices and the willingness of balancing
service providers (BSPs) to pool reserves. In Vandezande et al. (2010) we elaborate on the negative
impact of dual pricing with penalties. We argue that the impact is not only discriminatory to new
entrant renewable energy players but also counterproductive in terms of the security of the system.
In Vandezande et al. (2009a) we illustrate how traders can exploit differences in the imbalance
settlement mechanisms of neighbouring countries. ENTSO-E (2019c) is an example of the annual
balancing market survey that is conducted by TSOs and includes the penalties that are applied in
countries that apply dual pricing.
4. De Vos et al. (2019) present a method for the dimensioning of operating reserves on a daily basis.
They show that this dynamic dimensioning approach makes a positive business case for the Belgian
system in 2020 as opposed to a static approach in which the capacity required is determined once
Who is responsible for balancing the system? 97
a year. Based on the results of this study, Belgium decided on a gradual implementation towards
2020 of daily procurement of mFRR according to estimations of daily needs.
5. Littlechild (2007, 2015) provides a detailed discussion on the pricing rule for balancing energy.
He favours marginal pricing but also recognizes that some characteristics of the balancing energy
market make it more difficult to apply this rule in certain situations.
6. ACER first highlighted this issue in Figure 24 of its 2015 market monitoring report (ACER and
CEER 2016). Since 2017 (ACER and CEER 2018, 2019), the share of balancing costs recovered
through imbalance settlement has been left out of the report so it is difficult to know how it has
evolved. The academic who came up with the operating reserve demand curve (ORDC) concept
is William W. Hogan (Hogan 2005, 2013). Papavasiliou and Smeers (2017) study how an ORDC
adder would perform in Belgium. An evaluation of the implementation of scarcity pricing in GB can
be found in Ofgem (2018).
7. ENTSO-E (2019a) provides an overview of the nine balancing pilot projects in Europe. ENTSO-E
(2014) included the concept of CoBAs in version 3.0 of the EB GL, which was published in
2014. Pentalateral Energy Forum (2016) includes the difference between the views of ACER and
ENTSO-E on the level of harmonization required in balancing markets to enable integration during
the EB GL drafting process.
8. In Vandezande et al. (2009b) we calculate the potential for netting between Belgium and the
Netherlands using historical imbalance data, balancing prices and available transmission capacity.
The quarterly benefits of the IGCC are available in ENTSO-E (2019b), the costs related to the IGCC
in Artelys et al. (2016) and the data on Latvia and the Netherlands in ACER and CEER (2018).
9. The balancing survey in ENTSO-E (2019c) shows that in 2018 mFRR was also used for congestion
management in Great Britain and the Nordics. Balancing bids cannot be used for redispatch in the
Netherlands and Germany.
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50Hertz, Elia, Amprion, APG, Energienet, RTE, Swissgrid, Transnet BW and TenneT (2018), ‘TSOs’
Proposal for the Establishment of Common and Harmonised Rules and Processes for the Exchange
and Procurement of Balancing Capacity for FCR in Accordance with Article 33 of the EB GL’, pub-
lished on 18 October 2018.
ACER (2020a), ‘Decision No 01/2020 of the European Union Agency of 24 January 2020 on the
Methodology to Determine Prices for the Balancing Energy that Results from the Activation of
Balancing Energy Bids’.
ACER (2020b), ‘Decision No 02/2020 of the European Union Agency of 24 January 2020 on the
Implementation Framework for the European Platform for the Exchange of Balancing Energy from
Frequency Restoration Reserves with Automatic Activation’.
ACER (2020c), ‘Decision No 03/2020 of the European Union Agency of 24 January 2020 on the
Implementation Framework for a European Platform for the Exchange of Balancing Energy from
Frequency Restoration Reserves with Manual Activation’.
ACER and CEER (2016), ‘Annual Report on the Results of Monitoring the Internal Electricity and
Natural Gas Markets in 2015 – Electricity Wholesale Markets Volume’.
ACER and CEER (2018), ‘Annual Report on the Results of Monitoring the Internal Electricity and
Natural Gas Markets in 2017 – Electricity Wholesale Markets Volume’.
ACER and CEER (2019), ‘Annual Report on the Results of Monitoring the Internal Electricity and
Natural Gas Markets in 2018 – Electricity Wholesale Markets Volume’.
All CE TSOs (2018), ‘All TSOs’ Proposal for the Determination of LFC Blocks for the Synchronous
Area Continental Europe in Accordance with Article 141(2) of the SO GL’, published on 15 July
2018.
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of LFC Blocks within the Nordic Synchronous Area in Accordance with Article 141(2) of the SO GL’,
published on 5 July 2018.
98 Evolution of electricity markets in Europe
All TSOs (2018a), ‘All TSOs’ Proposal for the Implementation Framework for a European Platform for
the Exchange of Balancing Energy from Frequency Restoration Reserves with Automatic Activation
in Accordance with Article 21 of the EB GL’, published on 18 December 2018.
All TSOs (2018b), ‘All TSOs’ Proposal for the Implementation Framework for a European Platform for
the Exchange of Balancing Energy from Frequency Restoration Reserves with Manual Activation in
Accordance with Article 20 of the EB GL’, published on 18 December 2018.
All TSOs (2018c), ‘All TSOs’ Proposal on Methodologies for Pricing Balancing Energy and Cross-Zonal
Capacity Used for the Exchange of Balancing Energy or Operating the Imbalance Netting Process
Pursuant to Article 30(1) and Article 30(3) of the EB GL’, published on 18 December 2018.
All TSOs (2019), ‘All TSOs’ Proposal for the Implementation Framework for a European Platform
for the Imbalance Netting Process in Accordance with Article 22 of Commission Regulation (EU)
2017/2195 of 23 November 2017 Establishing a Guideline on Electricity Balancing’, published on 10
September 2019.
All TSOs using RR (2018), ‘The Proposal of all Transmission System Operators Performing the Reserve
Replacement Process for the Implementation Framework for the Exchange of Balancing Energy from
Replacement Reserves in Accordance with Article 19 of the EB GL’, published on 18 June 2018.
Artelys (2017), ‘METIS Technical Note T6 – METIS Power System Module’, METIS Technical Notes,
(May), accessed at https://ec.europa.eu/energy/sites/ener/files/power_system_module.pdf.
Artelys, COWI and Frontier Economics (2016), ‘Integration of Electricity Balancing Markets and
Regional Procurement of Balancing Reserves’, Final Report, carried out for the European Commission
(DG ENER B1).
De Vos, K., N. Stevens, O. Devolder, A. Papavasiliou, B. Hebb and J. Matthys-Donnadieu (2019),
‘Dynamic dimensioning approach for operating reserves: Proof of concept in Belgium’, Energy
Policy, 124, 272–85.
ENTSO-E (2014), ‘ENTSO-E Network Code on Electricity Balancing Version 3.0’.
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nating in Serbia/Kosovo: Political solution urgently needed in addition to technical’, press release of
6 March 2018.
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working on step 2’, press release of 8 March 2018.
ENTSO-E (2018c), ‘Frequency deviations – Continental European TSOs have restored the situation to
normal’, press release of 3 April 2018.
ENTSO-E (2019a), ‘Cross Border Electricity Balancing Pilot Projects’, accessed at https://www.entsoe
.eu/network_codes/eb/.
ENTSO-E (2019b), ‘IGCC Regular Report on Social Welfare Q3 2019’.
ENTSO-E (2019c), ‘Survey on Ancillary Services Procurement and Balancing Market Design 2018’,
ENTSO-E WGAS, published in March 2019.
European Commission (2007), ‘DG COMP Report on Energy Sector Inquiry’.
Hogan, W. W. (2005), ‘On an “energy only” electricity market design for resource adequacy’, White
Paper, Harvard University.
Hogan, W. W. (2013), ‘Electricity scarcity pricing through operating reserves’, Economics of Energy and
Environmental Policy, 2 (2), 65–86.
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ofgem-publications/40635/19091cashoutreviewslittlechild.pdf.
Littlechild, S. (2015), ‘Reflections on cash-out arrangements’, letter to Roger Witcomb, February 2015.
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Working Paper, published in August 2018.
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curves: A case study of Belgium’, Energy Journal, 38 (6), 105–36.
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UCTE (2009), ‘Continental Europe Operation Handbook. P1: Load-Frequency Control and Performance’.
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ing markets: A prerequisite for wind power integration’, Energy Policy, 38 (7), 3146–54.
Vandezande, L., L. Meeus, R. Belmans, M. Saguan, J. M. Glachant and V. Rious (2009a), ‘Lacking
balancing market harmonisation in Europe: Room for trader profits at the expense of economic effi-
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100 Evolution of electricity markets in Europe
In this chapter, we answer four questions. First, why pay attention to detailed technicalities?
Second, how to organize regional system operation? Third, how to introduce minimum techni-
cal standards? Fourth, how to proceed with the implementation of technical standards?
In this section, we revisit two iconic incidents where technical requirements came to the atten-
tion of the wider public. They involve a solar eclipse and a cruise ship.
First, the solar eclipse.1 On 20 March 2015, a solar eclipse took place that affected Europe,
starting at 08.01 in the western part of Portugal and ending at 11.58 in the eastern part of
Romania. It was the first solar eclipse in a power system with significant amounts of solar
power. Solar photovoltaic (PV) generation gradually reduces as the sun goes down in the
evening and raises back up with the sunrise. For the solar eclipse the same would happen, but
much faster. In anticipation of the event, regional groups of transmission system operators
(TSOs) in European Network of Transmission System Operators for Electricity (ENTSO-E)
had analysed the potential impact and had looked at countermeasures that could be useful
during the eclipse.
In the Nordics, the TSOs had not expected to be significantly affected by the reduction in
solar PV generation. The Nordic countries decided to limit exchanges with Continental Europe
(CE). The idea was to protect the Nordic system from a possible blackout in CE and also to
help CE recover from a blackout if this unlikely event were to occur.
Great Britain reported a combination of different effects during the solar eclipse. In compar-
ison with a normal day, there was a demand suppression due to people stopping their activities
to be able to watch the event. There was also a demand increase due to lighting that extended
beyond the eclipse. There was a loss of wind generation in addition to the loss of PV gener-
ation because solar eclipses typically reduce wind speeds. The balancing in real time by the
system operated mainly relied on pumped hydro storage.
In Continental Europe, the impact was expected to be the greatest. The installed solar PV
capacity in the CE synchronous area in 2015 was estimated at around 89 GW. As a protection
measure, some TSOs had increased their balancing reserves. The additional balancing costs
during the event ranged from €40 000 for France to €3.6 million for Germany. The Italian TSO
Terna had proactively removed 4400 MW of planned solar PV production from the day-ahead
market. TSOs had raised awareness and informed market players of the responsibilities they
had during the eclipse. Extra training of control room operators had been organized.
111
112 Evolution of electricity markets in Europe
During the eclipse, some TSOs strategically used pumped hydro storage plants.
Teleconferences among CE TSOs were held and continuous communication took place
between control rooms in CE and the Nordics. Ex post analysis showed that the frequency
quality during the event was high. In Continental Europe, the frequency never deviated more
than 48 mHz from the set point of 50 Hz. In Great Britain, the frequency only briefly exceeded
operational targets at the very beginning of the solar eclipse at 08.00.
Second, the cruise ship.2 The story starts with the Norwegian Pearl. This ship needed to
pass beneath a high-voltage line in the north of Germany during the evening of 4 November
2006. For security reasons, the line was manually disconnected by the TSO responsible. What
should have been a regular operational task that had been done several times during the pre-
vious years, on this day triggered the tripping of several high-voltage lines from the north to
the south of Continental Europe within a number of seconds. Lines that disconnected included
interconnection lines between the German TSOs E.ON Netz and RWE, internal E.ON Netz
lines (DE), internal APG lines (AT), interconnection lines between HEP (HR) and MAVIR
(HU), internal HEP lines (HR) and internal MAVIR lines (HU). Finally, the interconnection
lines between Morocco and Spain also tripped due to low frequency. The final report by UCTE
on the system disturbance concluded that the system was operated close to its security limits
and coordination and communication among the TSOs had been insufficient.
During this incident, the CE grid was split into three areas. Each experienced significant
power imbalances with a frequency drop in two of the areas and an increase in the third. The
TSOs completed full re-synchronization of the CE system 38 minutes after the splitting and
were able to re-establish a normal situation in all European countries in less than two hours.
Figure 6.1 illustrates the frequency deviations in the three CE areas, and the tripping of gener-
ation and shedding of load that followed.
The western area was composed of Spain, Portugal, France, Italy, Belgium, Luxemburg, the
Netherlands, a part of Germany, Switzerland, a part of Austria, Slovenia and a part of Croatia.
This area was facing a significant imbalance due to missing imports from the east, which led
to a quick drop in frequency down to about 49.0 Hz. At this frequency, larger generator units
synchronously connected to the transmission grid were expected to stay connected. In many
Figure 6.1 Capacities lost at the frequencies reached in the three areas during the split
of the Continental European system on 4 November 2006
How to organize system operation and connection requirements? 113
countries, however, smaller generation units only connected to distribution grids had to be able
to withstand a drop to 49.5 Hz. In the western area, 10 900 MW of generation disconnected,
mainly wind and combined heat and power (CHP) generation connected to the distribution
grid. Except for one 700 MW thermal generation unit in Spain, none of the generation that
tripped was connected to the TSO networks. The load shedding that followed was aimed at
solving the initial imbalance in the western area plus the increased imbalance from the gener-
ation that disconnected. In total, about 1600 MW of pumps and 17 000 MW of consumption
were shed.
The north-eastern area was composed of a part of Austria, the Czech Republic, a part of
Germany, a part of Hungary, Poland, Slovakia and Ukraine. In this area, the frequency rose to
51.4 Hz due to a generation surplus of more than 10 000 MW. Automatic predefined actions
and automatic tripping of generation sensitive to high frequency values followed, mainly of
wind power connected to the distribution grid, which reduced the frequency to 50.3 Hz. The
tripping of wind generation was estimated at around 6200 MW and played a crucial role in
decreasing the frequency during the first seconds of the disturbance.
The south-eastern area was composed of North Macedonia, Montenegro, a part of Croatia,
Greece, Bosnia and Herzegovina, Serbia, Albania, a part of Hungary, Bulgaria and Romania.
This area only faced a slight under-frequency due to a lack of power of around 770 MW, but
no automatic actions or load shedding took place during the event.
The three main lessons learned can be summarized as follows. First, the cruise ship incident
was a wake-up call that there are many smaller units, like wind power plants, CHP and PV,
connected to the system that made the problem worse because they simply disconnected to
protect their own equipment. These units also caused challenges during frequency restoration,
as they automatically reconnected to the grid without any control by TSOs or DSOs when
the voltage and frequency conditions were in the acceptable range. In the new decentralized
system, it is not enough to manage the technical requirements of the larger units; the small
ones also have a technical responsibility that needs to be defined more clearly. This responsi-
bility cannot be limited to the national level because it will have consequences across borders.
Second, an understanding emerged that system operation needs to be regionalized. The cruise
ship incident was indeed the start of regional security coordination initiatives (RSCIs), which
were introduced to avoid this happening again. By sharing information and having a centre
that monitors different control areas, the national TSOs are better informed when taking
action. Third, the preparation for the first eclipse in a power system with a significant amount
of solar power worked out. Its ad hoc organization, however, triggered a debate on how such
coordination can be improved in the future.
In Chapter 3, we showed how regional system operation evolved from RSCIs to regional
security coordinators (RSCs) to regional coordination centres (RCCs) following the cruise
ship incident discussed here. In this section, we first discuss in more detail the tasks of these
regional entities, which go beyond the capacity calculation task we focused on in Chapter 3.
We then introduce the Risk Preparedness Regulation (EU) 2019/941, which is part of the
Clean Energy Package (CEP) and was a response to the solar eclipse incident.
114 Evolution of electricity markets in Europe
Figure 6.2 shows how regional system operation tasks have evolved since voluntary initiatives
were launched in 2008. The voluntary RSCIs offered regional coordination services and
provided TSOs with an overview of electricity flows at the European regional level to comple-
ment the TSOs’ own system data. The System Operation Guideline (SO GL) later formalized
TSO coordination by setting out common requirements for the establishment of RSCs and for
their tasks.
RSCs deliver five core operational services to support national TSO decision-making,
namely coordinated capacity calculation, coordinated security analysis, delivery of the
common grid model, outage planning coordination, and short- and medium-term adequacy.
In addition, they are required to review the relevant TSO’s system defence and restoration
plans for consistency and to provide a technical report to all the TSOs involved, which in turn
transmit it to the relevant regulatory authorities and to ENTSO-E to monitor implementation.
RSCs also provide critical grid situation (CGS) support to TSOs, a responsibility that was
introduced with the cold spell in winter 2017/2018.3 This includes support to identify the risk
level at an early stage and to organize communication in advance and during the operational
planning phase if a CGS is expected and appropriate remedial actions needing to be prepared.
Furthermore, the SO GL defines certain annual reporting duties of RSCs to ENTSO-E.
The RCCs were created within the geographical scope of system operation regions (SORs),
a new concept introduced in the CEP. A SOR spans several established concepts, including
TSOs, bidding zones, bidding zone borders and capacity calculation regions. A SOR covers at
least one capacity calculation region and the TSOs in a SOR are required to participate in that
region’s RCC. All TSOs of a SOR are required to forward a proposal for the establishment of
RCCs to the relevant national regulatory authority (NRA) for approval by 5 July 2020. The
proposal should include the Member State in which the RCC will be located, the TSOs par-
ticipating, arrangements regarding the RCC’s organization, financing, operations and liability
together with an implementation plan for the RCC’s entry into operation. Following approval
by the NRAs, the RCCs will replace the RSCs and enter into operation by 1 July 2022.
Figure 6.2 Evolution of RSCIs into RSCs and then RCCs and a selection of their tasks
How to organize system operation and connection requirements? 115
The five core operational services and the supporting tasks to ensure consistency of the
TSOs’ defence and restoration plans and manage CGSs will be transferred from the RSCs to
the RCCs. In addition, the portfolio of RCC tasks will include new tasks listed in the CEP.
In total, the CEP lists 16 tasks for RCCs. Some of the additional tasks are set by default,
for example post-operation and post-disturbance analysis and reporting, regional sizing of
reserve capacity and facilitation of regional procurement of balancing capacity. Other tasks
to be performed by RCCs are subject to a request from TSOs – for example, support for coor-
dination and optimization of regional restoration – or subject to delegation from ENTSO-E
– for example, identification of regional electricity crisis scenarios or carrying out seasonal
adequacy assessments. RCCs are to remain open to also extending their portfolio to potential
future needs for TSO regional coordination.
RCCs issue coordinated actions (for capacity calculation and security analysis) and recom-
mendations (for all other tasks) to the TSOs. The TSOs will implement coordinated actions
except where this would result in the violation of security limits. In such cases, the TSO is
required to file a report to the RCC and the other TSOs in the SOR. The RCC will assess
the impact of the decision on the other TSOs in the SOR and may propose a different set of
coordinated actions. If a TSO decides to deviate from a recommendation, it needs to submit
a justification to the RCC and the other TSOs in the SOR. Note that under certain conditions
the Member States in a SOR may jointly decide to grant their RCCs competence to issue coor-
dinated actions for one or more tasks for which currently only recommendations are given.
The Risk Preparedness Regulation (EU) 2019/941, which was adopted as part of the Clean
Energy Package, sets out a common framework of rules on how to prevent, prepare for and
manage electricity crises. It considers that a regional approach brings significant benefits in
terms of the effectiveness of the measures implemented and the optimal use of resources, and
so requires Member States to cooperate in the regional context. Regulation (EU) 2019/941 was
inspired by the above solar eclipse incident.
As mentioned, RCCs are required to perform the tasks of regional relevance assigned
to them in accordance with both the Risk Preparedness Regulation (EU) 2019/941 and the
Electricity Regulation (EU) 2019/943. ENTSO-E can delegate to RCCs tasks relating to
seasonal adequacy assessment and to the identification of regional electricity crisis scenarios.
Note that delegated tasks are to be performed under the supervision of ENTSO-E. On the
basis of these regional electricity crisis scenarios, Member States will establish and update
their national electricity crisis scenarios, in principle every four years. These scenarios then
provide the basis for the national risk-preparedness plans that each Member State is required
to develop. In this regard, the geographical scope of SORs is relevant in the identification of
regional electricity crisis scenarios and risk assessments.
This section provides a high-level overview of the various requirements that are set out in
the connection network codes (CNCs). The CNCs have their basis in the network code areas
116 Evolution of electricity markets in Europe
referred to in Regulation (EC) No 714/2009. We first discuss the types of grid user and then
describe the types of requirement that apply to these grid users.
The two CNCs we cover in this chapter are the Requirements for Generators Network Code
(RfG NC) and the Demand Connection Network Code (DC NC). They refer to different
types of grid user: on the one hand power-generating modules (PGMs), which include syn-
chronous power-generating modules (SPGMs), power park modules (PPMs) and offshore
power park modules (OPPMs); on the other hand transmission-connected demand facilities,
transmission-connected distribution facilities, distribution systems, including closed distribu-
tion systems, and demand units which are used by a demand facility or a closed distribution
system to provide demand response services to relevant system operators. The different types
of grid user are explained in Annex 6A.1. Note that in this book we do not cover the third
connection code, the High Voltage Direct Current Network Code (HVDC NC).
The RfG NC applies to new PGMs which are considered significant, unless otherwise
provided. PGMs that are considered significant need to comply with the requirements of the
RfG NC according to the voltage level of their connection point and their maximum capacity
(in MW). As Table 6.1 shows, the RfG NC differentiates between four categories of PGMs
(types A to D). It only sets the upper limits (‘upper limit minimum capacity threshold’) of the
capacity thresholds used to divide the PGMs into different types, and these limits differ across
the synchronous areas. The final thresholds for the different types are set at the national level
and can be lower than the maximum threshold, except for type A PGMs. It is important to note
that the final thresholds chosen at the national level are also strongly dependent on national
practices before the entry into force of the RfG NC.
Generally, all the RfG NC requirements for lower category PGMs (e.g. PGM type A) need
to be fulfilled by those in a higher category (e.g. PGM type B). Note in this context that,
despite exceptions, the thresholds are generally lower in ‘smaller’ synchronous areas (with
a lower annual net electricity generation). This means that there are relatively more PGMs
in the higher classes (C and D), which generally have more stringent requirements to satisfy.
Furthermore, specific requirements apply to SPGMs of types B to D, PPMs of types B to D,
and AC-connected OPPMs. Last, the requirements can also differ between system operators
(DSOs or TSOs) when the specific requirement is to be set by the system operator that a grid
user has a grid connection contract with. All the requirements are minimum requirements,
which means that PGMs can always have more enhanced capabilities if this does not nega-
tively impact system security.
The DC NC splits the different requirements into two groups: first, requirements for
transmission-connected demand facilities, transmission-connected distribution facilities and
distribution systems, including closed distribution systems; second, requirements for demand
units used by a demand facility or a closed distribution system to provide demand response
services to relevant system operators. Depending on the voltage level of the connection, the
requirements can differ within these two groups.
How to organize system operation and connection requirements? 117
Table 6.1 Limits for thresholds for different types of power-generating modules
Type Threshold
A ≥ 0.8 kW
Continental Europe Nordic Great Britain Ireland Baltic
B 1 MW 1 MW 1.5 MW 0.1 MW 0.5 MW
C 50 MW 50 MW 10 MW 5 MW 10 MW
D* 75 MW 75 MW 30 MW 10 MW 15 MW
The technical requirements in the CNCs are divided into mandatory and non-mandatory
requirements, each of which can be either exhaustive or non-exhaustive. Exhaustive require-
ments do not need further national specification, while non-exhaustive requirements need
further specification at the national level for their entire application either in general or as
a site-specific choice, and within the boundaries set at the regional level. In other words,
non-exhaustive requirements do not provide for a full harmonization. Mandatory requirements
are to be applied in all EU Member States and other countries which implement the CNCs,
while for non-mandatory requirements countries can decide whether they want to introduce
such a requirement either in general at the national level or as a site-specific choice.4
Most of the requirements described in the RfG NC and DC NC are non-exhaustive
requirements. The specification of non-exhaustive requirements at the national level may
require updating and amending technical specifications, such as existing national grid codes.
Therefore, a transition period from the date of entry into force of the CNCs to their application
is foreseen, as is illustrated in Box 6.1.
Figure 6.3 Timelines from publication to entry into application of RfG NC and DC NC
The Member States had the obligation to implement the CNCs at the national level no later
than three years after they were published, as is shown in Figure 6.3. Within this timeframe,
the relevant system operator, which in most cases was the TSO in coordination with the
118 Evolution of electricity markets in Europe
DSOs, had two years to define and submit a national specification of the non-exhaustive
requirements for approval by the competent entity. In order to support implementation at
the national level and in line with the legal requirements in the CNCs, ENTSO-E had an ob-
ligation to provide non-binding implementation guidance documents (IGDs). For reasons
of transparency, ENTSO-E monitored the CNC implementation process across the Member
States. Three years after the publication of the CNCs, all the parties affected had to com-
ply with the regulations. The CNC implementation process did not end with the entry into
application of the individual codes. On the contrary, all the relevant stakeholders have to
continually analyse the technical details of the codes and monitor whether the requirements
need to be revised in the light of system needs in future grid scenarios with increased pen-
etration of renewable energy sources.
Source: RfG NC, Art. 13(1.a.i); DC NC, Art. 28(2.a), Art. 29(2.a) and Annex I.
mechanism (see Chapter 5) and includes requirements for both for operation under normal
conditions and for operation in emergency situations, such as operation in frequency sensitiv-
ity mode. Frequency sensitive mode is the PGM operating mode in which the active power
output changes in response to a change in the system frequency so as to assist with recovery
to the target frequency.
Second, there are three types of voltage-related requirements. An important difference
with respect to frequency is that voltage issues have to be dealt with locally, although they
can also have a cross-border impact if not dealt with properly. Frequency can be controlled
by adjusting active power consumption or generation, while voltage is controlled by reactive
power consumption or generation. A first type of voltage-related requirements is reac-
tive power requirements. The DC NC specifies these for transmission-connected demand
facilities and transmission-connected distribution systems. A second type specifies certain
voltage ranges within which PGMs of type D, transmission-connected demand facilities,
transmission-connected distribution facilities and transmission-connected distribution systems
should remain connected to the grid for certain time periods. As with frequency ranges and
their duration, the time period chosen for remaining connected during a voltage deviation
should be long enough for the TSO to take the necessary mitigating actions and short enough
to limit constraints on grid user equipment. A third type of voltage-related requirements is
reactive power capabilities of PGMs of types B to D and demand units providing demand
response services to contain or compensate for voltage deviations from the reference values.
As with frequency, this last type covers both actions taken under normal system operation and
actions taken in emergency situations.
Third, there are robustness-related requirements. Robustness or resilience can be defined as
the ability to cope with disturbances without loss of proper functioning. In the context of the
CNCs, this means the ability to cope with disturbances and to help prevent any major disrup-
tion or to facilitate restoration of the system after a collapse. More specifically, generation and
120 Evolution of electricity markets in Europe
demand units are required to remain connected to the grid after a sudden voltage dip to help
prevent any major disruption or to facilitate restoration of the system after a collapse. Voltage
dips in high-voltage transmission grids are caused by switching activities which result in
a redistribution of energy flows happening as a result of a short circuit or a planned disconnec-
tion. The RfG NC sets out requirements for PGMs of types B to D to remain connected to the
network and operate through periods of low voltage at the connection point caused by secured
faults. This is the so-called fault-ride-through capability. Moreover, SPGMs of types B to D
are required to contribute to minimizing the spread of a voltage dip by recovering their active
power output quickly following a voltage disturbance. Similar specifications exist for PPMs
of types B to D. Relevant in this regard are also the requirements set out in the DC NC for
transmission-connected demand facilities and transmission-connected distribution systems to
withstand high short-circuit currents to avoid a potential cascading disconnection of grid users.
Fourth, there are system-restoration-related requirements. In Section 6.2, we introduced the
system defence and restoration plans that TSOs are required to establish. It is important to have
PGMs that do not need any external supply of electrical energy to restart after a blackout takes
place. This is referred to as black start capability. Most PGMs do not have this capability. The
RfG NC does not mandate black start capability for PGMs but refers to the right of Member
States and TSOs to require owners of type C and D PGMs to equip their PGMs with a black
start capability under certain conditions. Next to black start capability, the RfG NC also
includes system-restoration-related requirements as regards island operation, reconnection and
re-synchronization. For all three types of requirements related to system restoration, the CNCs
set out some obligations while other requirements are to be defined by the relevant system
operator.
Fifth, there are general system management related requirements. These include require-
ments related to information exchange with the relevant system operator, the settings of
control and protection schemes, instrumentation needed to provide fault recording and monitor
dynamic system behaviour and simulation models needed to test PGM compliance with the
different technical requirements. These requirements can be different for different types of
PGMs and for generation and demand units.
Note that the higher the classification of the PGM, the more requirements it has to satisfy,
and the more stringent these requirements are, which is illustrated in Table 6.3. We will come
back to this when we discuss open issues.
How to organize system operation and connection requirements? 121
In this section, we first discuss ongoing CNC implementation issues and then look at the case
of energy storage.
Here we discuss four implementation issues regarding CNCs: the compliance by existing
versus new connections, multiple connections versus a single connection, derogations at the
national level and requirements versus markets.
A first open issue is compliance by new versus existing connections. The DC NC applies to
new transmission-connected demand facilities, new transmission-connected distribution facil-
ities, new distribution systems, including closed distribution systems, and new demand units
used by a demand facility or a closed distribution system to provide demand response services
to relevant system operators. As mentioned in Section 6.3.1, the RfG NC applies to PGMs that
are new and significant. Significant means a PGM capacity larger than or equal to 0.8 kW.
PGMs and transmission-connected demand facilities, transmission-connected distribution
facilities, distribution systems and demand units used to provide demand response services
are considered new if the final and binding contract for the purchase of the main generating
plant, demand equipment or demand unit is not finalized by two years after the entry into force
of the relevant regulation. However, the RfG and the DC NC can also exceptionally apply to
existing connections. A first exception is that TSOs can propose to the relevant regulatory
authority to make existing PGMs, existing transmission-connected demand facilities, existing
transmission-connected distribution facilities, existing distribution systems or existing demand
units subject to all or some of the requirements of the relevant regulation. Such retroactive
action can be done if the TSO deems that it faces significant factual changes in circumstances,
such as an evolution of system requirements (including the penetration of renewable energy
sources, smart grids, distributed generation or demand response), and the regulator agrees with
it. A second exception is that, after notification by the system operator, the relevant regulatory
authority can decide that existing PGMs of types C or D, existing transmission-connected
demand facilities, existing transmission-connected distribution facilities, existing distribution
systems or existing demand units have been modernized substantially and therefore need
a revised or new connection agreement. How this will be handled at the Member State level
remains to be seen.
A second open issue is multiple connections versus a single connection. As Table 6.3
shows, the classification of different types of PGMs impacts on how stringent the require-
ments are that the PGM has to comply with. A key question is whether a project can request
multiple connections. Consider a wind park with ten 3.5 MW wind turbines. If the project is
treated as a single 35 MW connection, it will be classified as a type C or even type D gen-
eration unit, depending on the control area. If it is treated as ten 3.5 MW connections, they
will be classified as ten type B generation units. In the second scenario, the project will have
to comply with less stringent requirements. The RfG NC states that classification should be
based on size and the effect on the overall system. Differences exist between synchronously
and non-synchronously connected generation units. For synchronous generators, the RfG NC
122 Evolution of electricity markets in Europe
states that the PGM capacity should be based on machine size and include all the components
of a generating facility that normally run indivisibly. This means that one large turbine equals
one generation unit. For non-synchronous generation units, the RfG NC is less clear. It states
that non-synchronously connected PGMs should be assessed on their aggregated capacity
where they are collected together to form an economic unit and where they have a single con-
nection point. It all comes down to the definition of economic unit and single connection point,
which is left to Member States, so how this will be handled in detail is an open issue. Note
that the DC NC does not define different categories with different technical requirements, so
this issue does not apply to demand connections. However, the DC NC clarifies that demand
connections with more than one demand unit are to be considered as one demand unit if they
cannot be operated independently from each other or can reasonably be considered in a com-
bined manner.
A third open issue is derogations at the national level. Three aspects of derogations are
worth noting. First, the criteria for granting derogations are defined by the NRAs. The
European Commission may require an NRA to amend the criteria if they are not in line with
the CNC. Additionally, if an NRA deems that it is necessary due to a change in circumstances
relating to an evolution of system requirements, it may review and amend the criteria for
granting derogations at most once a year. Second, two types of derogations exist depending
on who files the request. Derogations can be requested by a PGM or demand facility owner
or prospective owner. They can also be requested by a system operator for classes of PGMs
or for multiple demand facilities. In such a case, the system operator would consider the need
for more stringent requirements than those provided by the CNC to guarantee secure system
operation. Third, all decisions regarding derogations granted or refused are notified to ACER
and kept in a regularly updated register. ACER and the European Commission both have the
possibility of issuing a reasoned recommendation to a regulatory authority to revoke a deroga-
tion due to a lack of justification. It remains to be seen to what extent derogations will be used.
A fourth open issue is requirements versus markets. Non-frequency ancillary services may
follow a similar path to frequency ancillary services. As was discussed in Chapter 5, frequency
ancillary services, or balancing, evolved from technical mechanisms into markets. As discussed
in this chapter, non-frequency ancillary services can be treated as technical requirements in
connection agreements, but they can also evolve into services that are procured in markets.
In some countries, TSOs have already started to define and procure services such as black
start capabilities and voltage control. The power system of the future might also require the
definition of new requirements and/or services. Inertia might also become a scarce resource in
larger synchronous systems as we move towards a power system with more non-synchronous
generation units. Regulation (EU) 2019/943 foresees a second generation of network codes
which will include rules on the non-discriminatory transparent provision of non-frequency
ancillary services, including rules on voltage control, inertia, black start capability and others.
To what extent these rules will lead to new requirements or markets is an open issue.6
Two aspects of current discussions around energy storage are worth noting. First, with the
exception of pump-storage power-generating modules, which were included in the RfG NC,
the first generation of network codes does not cover energy storage. Member States are
How to organize system operation and connection requirements? 123
therefore free to follow one of three paths. They can treat storage under one of the existing
asset classes of generation or demand and apply the relevant requirements of the relevant
connection code; they can create a new asset class and create a separate grid code for energy
storage; or they can also do something in between by starting from one of the existing codes
and making a few adaptations to reflect the specificities of storage technologies.
Second, Regulation (EU) 2019/943 foresees a second generation of network codes to
specify rules in relation to demand response, including rules on aggregation, energy storage
and demand curtailment. We do not yet know whether these rules will be more like market
guidelines alongside the existing CACM GL, FCA GL and EB GL or whether they will
become grid connection network codes alongside the RfG NC, DC NC and HVDC NC.
6.5 CONCLUSION
In this chapter on how to organize system operation and connection requirements we have
answered four questions. First, why pay attention to detailed technicalities? The technical
requirements of grid connections came to the attention of the general public when we had
a near-blackout experience triggered by a cruise ship in Germany. The first lesson learned
was that system operation needs to be regionalized. This was indeed the start of voluntary
initiatives that were later formalized in the SO GL and raised to the next level with the Clean
Energy Package. The second lesson learned was that we need stricter requirements for new
smaller units connected to the power system. The preparations for the first solar eclipse in
a power system with significant amounts of solar power also inspired a more formal risk
impact assessment process at the European level.
Second, how to organize regional system operation? TSOs remain the only system oper-
ators at the transmission level, but the roles of regional entities have been increasing with
the changes from RSCIs to RSCs and RCCs. The Risk Preparedness Regulation, which was
adopted as part of the Clean Energy Package, introduced a regional approach for preventing,
preparing for and managing electricity crises, such as solar eclipses.
Third, how to introduce minimum technical standards? The connection network codes set
out technical requirements for connecting different users and technologies to the grid. The
Member States were obliged to implement the connection network codes at the national level
no later than three years after their publication. Many non-exhaustive technical requirements
had to be defined and tough choices had to be made. The requirements will continue to evolve
with the power system.
Fourth, how to proceed with the implementation of technical standards? The new technical
requirements mainly apply to new connections, unless the TSO successfully argues that the
system needs a retroactive intervention. TSOs and grid users can also apply for derogations
from the requirements that have been set, and grid users might try to escape some of the
requirements by applying for multiple connections instead of a single bigger connection for
a certain project. Requirements could also be at least partly replaced by markets remunerating
grid users for the non-frequency ancillary services they provide. These are all open issues. The
second generation of network codes might also play a role, especially in energy storage, which
has not yet been addressed by the first generation of codes.
124 Evolution of electricity markets in Europe
NOTES
1. This account of the solar eclipse is mostly based on the impact analysis by ENTSO-E (2015) and
a report by ENTSO-E and SolarPower Europe (2015).
2. The incident is discussed in detail in UCTE (2007). See also the report in German by the German
national regulatory authority Bundesnetzagentur (2007). Researchers from the Ecole Centrale de
Lille (FR) published a video of the event, which is available on YouTube under the title ‘System
Disturbance in EUROPE (2006)’.
3. The RSC task of critical grid situation management is not mandated by the network codes but was
introduced by ENTSO-E (2018, 2019) to better tackle cold spells during winter.
4. ENTSO-E (2016a) explains the differentiation and the relationship between mandatory/
non-mandatory and exhaustive/non-exhaustive requirements in a guidance document for national
implementation of the CNCs.
5. Note that we do not differentiate between mandatory and non-mandatory non-exhaustive require-
ments. In its guidance document, ENTSO-E (2016b) gives an overview of non-exhaustive require-
ments in the CNCs and specifies which parameters are mandatory and which are non-mandatory.
6. For a long time there has been a debate in academia on whether in the presence of voltage con-
straints reactive power prices should also be determined in addition to active power prices. For
example, Hogan (1993) claims that reactive power prices complementing active power prices are
needed, while Kahn and Baldick (1994) state that ‘reactive power is cheap’, and that reactive power
pricing can be very hard in practice. Anaya and Pollitt (2018) explore the international experience of
system operators procuring reactive power in different jurisdictions, including Australia, the United
States and Great Britain.
REFERENCES
Anaya, K. L. and M. G. Pollitt (2018), ‘Reactive power procurement: Lessons from three leading coun-
tries’, Cambridge Working Papers in Economics: 1854.
Bundesnetzagentur (2007), ‘Bericht der Bundesnetzagentur für Elektrizität, Gas, Telekommunikation,
Post und Eisenbahnen über die Systemstörung im deutschen und europäischen Verbundsystem
am 4. November 2006’ [‘Court of Justice of the European Communities for Electricity, Gas,
Telecommunications, Post and Electricity Transmission Systems in the European Union and in the
European Union on 4 November 2006’].
ENTSO-E (2015), ‘Solar Eclipse 2015. Impact Analysis’.
ENTSO-E (2016a), ‘Making Non-Mandatory Requirements at European Level Mandatory at National
Level. ENTSO-E Guidance Document for National Implementation for Network Codes on Grid
Connection’.
ENTSO-E (2016b), ‘Parameters of Non-Exhaustive Requirements. ENTSO-E Guidance Document for
National Implementation for Network Codes on Grid Connection’.
ENTSO-E (2018), ‘Annual Report 2017’.
ENTSO-E (2019), ‘Enhanced TSO Regional Coordination for Europe: Act Locally, Coordinate
Regionally, Think European’.
ENTSO-E and SolarPower Europe (2015), ‘Solar eclipse March 2015: The successful stress test of
Europe’s power grid – more ahead’, Policy Brief, 15 July.
Hogan, W. W. (1993), ‘Markets in real electric networks require reactive prices’, Energy Journal, 14
(3), 171–200.
Kahn, E. and R. Baldick (1994), ‘Reactive power is a cheap constraint’, Energy Journal, 15 (4), 191–201.
Netbeheer Nederland (2019), ‘DCC Compliance Verification. Transmission Connected Demand
Facilities, Transmission Connected Distribution Facilities and Distribution Systems. Version 1.0.
Valid from 18 August 2019’.
UCTE (2007), ‘Final Report – System Disturbance on 4 November 2006’.
How to organize system operation and connection requirements? 125
A conventional power plant falls under the definition of an SPGM. An asynchronously con-
nected wind power plant is treated as a non-synchronously connected PPM. Solar photovoltaic
or electricity storage devices connected through an inverter are treated as PPMs connected
through power electronics. An AC-connected offshore wind power plant is treated as an
OPPM. Note, however, that an AC-connected onshore wind power plant is treated as a PPM.
Note also that an offshore wind power plant that is connected through an HVDC system is
treated as a DC-connected PPM in the HVDC NC.
It is important to note that the DC NC differentiates between ‘system’, ‘facility’ and ‘unit’.
Figure 6A.1 illustrates the use of the terms ‘system’ and ‘facility’ in the DC NC.
Figure 6A.1 Illustration of the terms ‘demand facility’, ‘distribution facility’ and
‘distribution system’ as used in the DC NC
How to organize system operation and connection requirements? 127
In this chapter, we answer three questions. First, why did some countries introduce a capacity
mechanism? Second, what is the best capacity mechanism? Third, how to limit the (ab)use of
capacity mechanisms?
Capacity mechanisms were introduced to ensure adequate investment in power plants. Today
we talk about resource adequacy rather than generation adequacy because we also have
demand and storage solutions that can compete with power plants in these mechanisms.
However, in some parts of this chapter, we still focus on power plants or generation because
that is how we used to talk about this issue. The mechanisms are called capacity mechanisms
because they provide payment for capacity (MW) in addition to wholesale markets that
remunerate energy (MWh). Electricity markets without capacity mechanisms are sometimes
referred to as energy-only markets. This is misleading because electricity markets without
capacity mechanisms also include capacity components. Retail contracts typically include
capacity components, and the same is true for balancing capacity markets. In what follows,
we focus on the main arguments that have been used in favour of capacity mechanisms. First,
we explain how the economic arguments in favour of capacity mechanisms are evolving from
missing money to missing markets. Second, we argue that the real reason that most countries
go for capacity mechanisms is political rather than economical.
First, the evolution from the missing money argument in favour of capacity mechanisms to
the missing markets argument.1 Electricity demand is relatively inflexible and electric energy
storage capacities are still limited, so prices can go up and down depending on the availability
of renewable energy sources and the demand for electricity. The California crisis in the early
2000s showed that companies can sometimes abuse their market power by driving up electric-
ity prices.2 Around that time, most US electricity markets introduced price caps to limit this
market power abuse. However, this caused some power plants to lose money, typically the
plants that were only needed to cover peak demand. These so-called peakers ran for a limited
number of hours a year. In these hours, they not only had to recover their fuel and other oper-
ating costs, but they also needed to earn a margin that was large enough to cover their capital
costs. If not, they would go out of business. As the price caps were applied equally to all
periods of the year, they also reduced the peakers’ income in times of scarcity. This resulting
loss of income was termed ‘the missing money problem’. Note that the initial focus was on
135
136 Evolution of electricity markets in Europe
price caps, but later it was realized that missing money in wholesale and balancing markets can
also be caused by other interventions. For instance, in Chapter 5 we discussed how capacity
payments to reserve balancing services can distort the scarcity price signal close to real time.
The missing money problem was the main reason why most US wholesale markets introduced
a capacity mechanism at the beginning of this century. The situation in Europe was somewhat
different, and we will come back to it in the next section.
The counter-argument is that capacity mechanisms are not needed. It is simply necessary
to fix the interventions that cause the missing money. For instance, structural measures can
be applied to improve competition so that price caps can be removed and balancing markets
can be reformed. However, there is also a missing market problem in electricity markets. In
Chapter 2, we discussed cross-border hedging in the forward timeframe. The contract length
for transmission rights goes up to a year, while companies typically want to hedge with
longer-duration contracts. In Chapter 6, we referred to technical requirements in connection
agreements that could become markets for system services. Another missing market is the
market for reliability. If there is a shortage in the electricity market, rationing is applied.
Certain districts are disconnected for a few hours, and then other districts for a few hours, so
the pain is spread with what is referred to as a rolling blackout. Unlike a real blackout, this one
is planned and scheduled. In Box 7.1 we discuss a controversy in Belgium around a rationing
plan when the country came close to having to use it. The problem with the rationing approach
is that those who caused the shortage are not held accountable. If retailers knew that their cus-
tomers would be cut off if they do not secure enough supply, they would have more incentives
to enter into long-term contracts with investors in power plants. As long as this is not fixed,
it is another argument in favour of a capacity mechanism to ensure that we have adequate
investment.
Second, the politics of capacity mechanisms.3 Capacity mechanisms have often been
lobbied for by incumbents. These mechanisms are also appealing to risk-averse policymakers
who do not want to be blamed for electricity shortages. In Europe, the number of countries
that have introduced a capacity mechanism increased after the global financial and economic
crisis that started in 2008. Most of the big utilities in Europe had invested substantially in
new gas-fired power plants. Many of these plants did not run in the years following the crisis
because electricity demand stopped growing or even reduced, and renewable energies had
grown faster than expected. In this context, capacity mechanisms became controversial. Some
argued they are simply state aid to national champions that have made the wrong investment
decisions, while others argued they keep alive the gas plants that we desperately need as
backup capacity for renewable energy sources.
In Belgium, a load-shedding plan led to controversy in the media and in court in 2014. In
the winter of 2014–2015 several nuclear plants were unavailable, so the country risked hav-
ing to use the plan. The general public learned about the plan from the media, which started
to publish maps in six different colours indicating which regions would be cut off first.
Load-shedding plans organize controlled power outages. They make it possible to avoid
a much more serious situation, such as a general blackout of a region. The rationing is usu-
How to ensure adequate investment in power plants? 137
ally limited in time. Some sites, such as hospitals, are classified as priority and are never
cut. The Belgian plan also avoided city centres and communities with more than 50 000
inhabitants as well as capitals of provinces.
The main controvesy arose in the port of Ghent and the airports of Liège and Charleroi,
which were included in or were close to blue zones – the zones that were first to be cut off.
Ghent demanded that the port area be excluded from the load-shedding plan. The City of
Ghent and the company responsible for managing the port (Havenbedrijf Gent) launched
a court case against the parties involved: the Ministers of Economy and Energy, the trans-
mission system operator (TSO) Elia and the distribution system operator (DSO) IMEWO.
The City asked for €10 million compensation in the case of load shedding. The airports of
Liège and Charleroi also had similar concerns.
Note: Commission de l’économie (2015) summarizes the debate that took place in 2015 regarding
load-shedding plans in Belgium. CREG (2016) presents the modifications in the load-shedding plans that were
decided on following the incident.
There are many ways to implement a capacity mechanism, and the relative popularity of the
different options clearly evolved with experience. In what follows, we discuss the experiences
of Spain, Sweden, Great Britain and Ireland, which together nicely illustrate what Europeans
think about capacity mechanisms. We present a taxonomy of capacity mechanisms in Annex
7A.1.
First is the case of Spain, which has been well-documented and commented on by our
colleagues.4 Spain introduced a capacity mechanism as early as 1997. The capacity price was
administratively set by the regulator and the government. In 2007, the mechanism included
two components: investment incentives and availability payments. The investment subsidy
was then €28 000/MW/year. In 2012, the price was reduced from €28 000 to €23 000/MW/
year. In 2013, it was further reduced to €10 000, but the period over which the capacity pay-
ments applied was extended from 10 years to 20 years. The investment incentives were only
for generation capacity installed between 1998 and 2016. In 2018, availability payments for
capacity rewarding combined cycle gas turbines (CCGTs), natural gas, fuel-oil, coal-fired and
hydropower generators were suppressed. The Spanish government’s reason was to be in line
with the Clean Energy Package and the energy transition objectives. This Spanish mechanism
is called capacity payments. A few more countries like Ireland, Italy and Greece also tried out
this mechanism, but it is being abandoned by all of them in favour of mechanisms that set the
price in a market for capacity.
Second is the case of Sweden. Since 2004, it has been possible for power plants to be strate-
gically reserved in Sweden. There is an administrative decision to reserve a certain amount of
capacity, and the price of that capacity is set in an auction. Power plants that would otherwise
be taken offline can then stay on the system and be used in times of shortages. This mechanism
became the most popular mechanism in Europe, even though it received much criticism. The
fear was that governments or regulators would be tempted to use their strategic reserves to
reduce price peaks. This would then act as a de facto price cap in wholesale markets and cause
a missing money problem for the other power plants that did not receive a capacity payment
138 Evolution of electricity markets in Europe
from the strategic reserve fund. In Sweden, reserve activation only happens if there is a curtail-
ment situation in Sweden or Finland. TSOs in both countries decide together which resources
to use in the case of shortages. Note that today a large part of the Swedish strategic reserve is
demand response from load-heavy industry.
Third is the case of Great Britain. Since 2014, Great Britain has had a US-style capacity
auction, often referred to as a capacity market. There is an administrative decision to procure
a certain amount of capacity, and the price of that capacity is set in an auction. The capacity
market applies to all the power plants or resources able to provide capacity. The problem with
such a mechanism is that it distorts the wholesale market. The wholesale market is a European
market in which power plants from different countries compete, as was explained in Chapter
2, but some of them are now supported by national capacity mechanisms while others are not.
Within a national market with a capacity mechanism, the mechanism also distorts the level
playing field between different players and technologies. In the past these mechanisms focused
on supporting power plants, while today supply solutions are wanted to compete with demand
and energy storage solutions. It has proven to be very difficult to design capacity mechanisms
that are technology-neutral. The so-called Tempus case illustrates the controversies around
these mechanisms (Box 7.2).
Tempus, a demand response provider, argued that the capacity market scheme in Great
Britain discriminated against demand response. The mechanism had been approved by the
European Commission, which was challenged by Tempus. In 2018 the General Court of
the European Union issued a judgment in case T-793/14 ‘Tempus Energy Ltd and Tempus
Energy Technology Ltd v Commission’ overruling the Commission’s decision to approve
the state aid scheme establishing a capacity market in the United Kingdom (UK). The UK
government suspended the capacity market to comply with the judgment. This led to an
immediate stopping of the existing capacity payments and the cancelling of 2019 auctions.
The European Commission appealed against the decision and conducted a state aid in-
vestigation. The UK government supported the Commission’s appeal. After an in-depth
investigation, in October 2019 the Commission again approved the mechanism. It con-
firmed that it complied with the EU state aid rules and that it did not distort competition in
the single market. The investigation did not find evidence that the capacity market scheme
would put demand response providers at a disadvantage. At the same time, the UK gov-
ernment committed to improving the scheme, considering recent market and regulatory
developments and other issues identified in the UK government’s 2019 five-year review
of the capacity market. This includes, for instance, revisiting the minimum capacity size to
participate in the auction and the rules on participation by new types of players. Tempus can
still challenge the re-approval, and other related proceedings are still ongoing.
Note: Before the Clean Energy Package was adopted, the European Commission instruments to control the
implementation of capacity mechanisms were the EU state aid rules. Our colleagues Hancher et al. (2015) are
experts on state aid and provide a detailed discussion of experiences with capacity mechanisms.
How to ensure adequate investment in power plants? 139
Fourth is the case of Ireland. Ireland started with Spanish-style capacity payments but became
the first country in Europe to introduce reliability options. This is a mechanism that has been
advocated by academics as superior to capacity markets because it pays for the availability of
capacity at times of shortages rather than paying for capacity. Reliability options are based on
the concept of a call options contract, and capacity providers enter into an option contract with
a counterparty (a TSO or a large consumer or supplier). This contract offers the counterparty
the option of procuring electricity at a predetermined strike price. In return for the premium
paid – the price of the option contract – the counterparty gets insurance against high prices.
This premium then replaces the capacity remuneration. The mechanism incentivizes power
plants or other players to have resources available when prices go up. If they do not, they will
have to buy energy at the high prices in the market and sell it at the lower strike price that has
been agreed when entering the insurance scheme. In addition, regulators may apply further
safeguards with a penalty for non-compliance and/or by requiring a certain level of physical
capacity for all options sold. By design, this mechanism is less distorting for the wholesale
market than capacity markets. However, when we looked into the implementation details, we
found that many parameters are still set administratively. These include who can offer which
amount of reliability options, the length of the contract and many other factors that are known
to favour some solutions over others.5
In other words, there is no best design for capacity mechanisms. If a country is fully
convinced its electricity market cannot survive without a capacity mechanism, reliability
options are the most elegant design option, but it will need to keep a close eye on the imple-
mentation details. If it is not convinced but political reality pushes it towards an intervention
to safeguard the availability of capacity in the system, strategic reserves will be its preferred
option. They are easier to implement and the Clean Energy Package includes provisions that
remedy the main risks associated with strategic reserves, as we will discuss in the next section.
The Clean Energy Package goes a long way towards limiting the (ab)use of capacity mecha-
nisms. Regulation (EU) 2019/943 introduced two steps to check if capacity mechanisms are
really needed and also includes provisions to guide the design of these mechanisms.
Here, we introduce the European resource adequacy assessment and the national implemen-
tation plan for market reforms, both of which will be used to check whether a certain country
needs a capacity mechanism.
First, the European resource adequacy assessment. Following Regulation (EU) 2019/943,
this assessment will be used to check if there is a need for concern. The assessment is to be
carried out every year by ENTSO-E based on data provided by national TSOs and cover
a period of ten years. A European assessment can avoid over-reaction if a certain country has
an issue which can be solved by its neighbours. It can also avoid under-reaction if a number
of countries are counting on the same neighbour and/or over-estimate the capacity of their
neighbours to help in certain situations. Member States can also continue to do national assess-
140 Evolution of electricity markets in Europe
ments, which they can use to complement the European assessment with additional sensitivity
analysis. If this leads to disputes, a process has been foreseen with a role for the Agency for
the Cooperation of Energy Regulators (ACER).
Regulation (EU) 2019/943 introduced a process to come up with a methodology that will be
used in these assessments. The role of the Member States or a competent authority designated
by them is to define a reliability standard. The reliability standard is the level of risk countries
want to take to face shortages, which is expressed as the ‘expected energy not served’ (EENS),
or the ‘loss of load expectation’ (LOLE). The role of the European Network of Transmission
System Operators for Electricity (ENTSO-E), with oversight from ACER, is to integrate this
standard into a methodology that also considers the cost of new entry of generation, or demand
response, and the cost people face when they do not have electricity, which is expressed as the
value of lost load (VoLL). Scenarios with demand and supply projections will also need to be
agreed upon to be able to perform this assessment. In December 2019, ENTSO-E launched
two public consultations to collect inputs from stakeholders on the proposal for the EU
resource adequacy assessment methodology and on the VoLL, the cost of a new entry and the
reliability standard calculation methodology.
Second, the national implementation plan for market reforms. As discussed in the previ-
ous sections, much can be done to reduce the need for capacity mechanisms. Price caps can
be removed in wholesale markets and retail markets, more investment can be made in the
transmission network and balancing markets can be reformed, as was discussed in Chapter
5. Following Regulation (EU) 2019/943, Member States with identified resource adequacy
concerns need to develop and publish an implementation plan with a timeline for adopting
measures to eliminate any identified market distortions. The plans will be reviewed by the
European Commission, which shall issue an opinion within four months. Member States also
have to monitor the application of their plans and publish the results of the monitoring in an
annual progress report.
Regulation (EU) 2019/943 refers to capacity mechanisms as measures of last resort to
eliminate residual resource adequacy concerns. Member States are to carry out a study of the
possible effects of capacity mechanisms on neighbouring countries before they are imple-
mented. They are also to prioritize assessment of the potential of a strategy reserve mechanism
to address residual resource adequacy concerns. Only if strategic reserves cannot address them
may Member States implement other types of capacity mechanisms.
Capacity mechanisms are also to be temporary and to be approved by the European
Commission for a maximum of ten years. Then they are to be phased out, or the amount of
committed capacity is to be reduced according to the national market reform implementation
plan. Member States are to continue the application of the implementation plan after the intro-
duction of the capacity mechanism. They need to include a provision allowing for an efficient
administrative phase-out in the case that no new contracts are concluded for three consecutive
years. Member States are to review capacity mechanisms that are already in place. If the
resource adequacy assessments have not identified concerns, no new contracts under these
mechanisms are to be concluded.
How to ensure adequate investment in power plants? 141
Regulation (EU) 2019/943 provides guidance to Member States regarding the design of capac-
ity mechanisms. Below, we discuss the design principles that apply to all mechanisms, and
specific ones that apply to strategic reserves.
First is technology neutrality. Capacity mechanisms need to be open to participation by
all capable resources, including demand and storage solutions and decentralized energy
resources. Resources should be selected through a transparent non-discriminatory competitive
process. The mechanisms must also provide incentives for participants to be available in times
of system stress when they are most needed. Appropriate penalties should be applied for pro-
viders who are not available during such times.
Second are strategic reserves. Strategic reserves are only to be dispatched in the case that
TSOs are likely to exhaust their balancing resources. During imbalance settlement periods
in which resources in the strategic reserve are dispatched, the imbalances in the market are
to be settled at least at the VoLL or at a higher value than the intraday technical price limit,
whichever is higher. Following the dispatch, the strategic reserve’s output is to be attributed to
balance responsible parties (BRPs) through the imbalance settlement mechanism. In addition,
the resources participating in the strategic reserve mechanism shall not receive any remuner-
ation from wholesale or balancing markets. They are to be held outside the market at least
during the contractual period.
Third are CO2 emission limits. Capacity mechanisms cannot be abused to subsidize the
most polluting coal power plants. A grandfathering clause was introduced for capacity mecha-
nism contracts that were concluded before 31 December 2019. Since 4 July 2019, a CO2 emis-
sion limit of 550 g of CO2 of fossil fuel origin per kWh has been applied for new generation
capacity. Additionally, from 1 July 2025, an emission limit of 350 kg of CO2 of fossil fuel
origin on average per year per installed kWe for existing capacity is applied, that is, generation
capacity that started commercial production before 4 July 2019. In December 2019, ACER
published an opinion providing technical guidance related to the calculation of the values of
CO2 emission limits for capacity mechanisms. It clarifies the scope of application of the emis-
sion limits and sets out the calculation formulae and the related specifications.
Fourth is cross-border participation. Capacity mechanisms other than strategic reserves
must be open to explicit cross-border participation to limit distortions to cross-border trade and
competition and to provide incentives for interconnection investment to ensure the EU security
of electricity supply at the least cost. Cross-border participation in strategic reserves is to be
open where technically feasible. With ACER oversight, ENTSO-E needs to develop a meth-
odology to calculate the maximum entry capacity for cross-border participation. TSOs are then
to set the maximum entry capacity for foreign capacity on the basis of a recommendation by
the regional coordination centre. Many more details will be worked out to enable cross-border
participation in capacity mechanisms.
7.4 CONCLUSION
In this chapter on how to ensure adequate investment in power plants, we have answered three
questions. First, why did some countries introduce a capacity mechanism to ensure adequate
investment in power plants? The arguments in favour of capacity mechanisms are evolving
142 Evolution of electricity markets in Europe
from missing money to missing markets. The missing money problem was first identified in
the US, where price caps had led to a reduction in generation unit incomes, especially those
of peakers. Missing markets include longer-term hedging across borders and the market for
reliability. We also showed that the real reason behind capacity mechanisms is often political
rather than economical.
Second, what is the best capacity mechanism? We discussed the experiences of Spain with
capacity payments, Sweden with strategic reserves, GB with capacity markets and Ireland
with reliability options. We cannot say that there is an absolute winner. Nevertheless, there is
a trend towards strategic reserves, which is reflected in the Clean Energy Package framework
for capacity mechanisms.
Third, how to limit the (ab)use of capacity mechanisms? We presented the new regula-
tory framework introduced in the Clean Energy Package. It includes EU resource adequacy
assessment and national implementation plans for market reforms. Member States need to
check whether it is sufficient to introduce strategic reserves, and detailed design principles
for these reserves are provided. The new framework also encompasses other design principles
for capacity mechanisms, such as technology neutrality, CO2 emission limits and rules on
cross-border participation.
NOTES
1. Shanker (2003) used the missing money concept in his reaction to the standard market design pro-
posals by the Federal Energy Regulatory Commission (FERC) in the US. Cramton and Stoft (2006)
have also been influential in their study of the issue. Joskow (2008) went a step further and argued
that the missing money is not only caused by price caps but there are other market interventions that
have the same effect. Examples include actions by system operators to ensure system reliability.
Newbery (1989) discusses the missing market problem when revenue is adequate but not perceived,
that is, the commodity being sold is considered a public good. Bhagwat et al. (2016) present a survey
of US experts regarding capacity mechanisms. The answers are in favour of energy-only markets.
Cretì and Fontini (2019) highlight the pros and cons of the different capacity mechanisms. They
provide an alternative tool to capacity mechanisms: the operating reserve demand curve, which
complements energy-only markets. This tool is also discussed in Hogan (2013), who argues that it
can complement both energy-only markets and markets with capacity mechanisms. We referred to
this approach in Chapter 5.
2. The California crisis in 2000–2001 is one of the most iconic electricity market crises. Several
academics from the US have analysed the California crisis including Borenstein (2002), Borenstein
et al. (2003, 2008), Joskow (2001, 2008) and Wolak (2003). In 1998, the state had introduced
competitive wholesale and retail markets for electricity. It was the first fully decentralized market
arrangement, with a power exchange (CALPX) and an independent system operator (CAISO),
in the US. CAISO operated the transmission networks owned by the three major utilities and ran
various energy-balancing, ancillary services and congestion management markets, while CALPX
ran both a voluntary day-ahead and hourly hour-ahead public wholesale markets for energy. Note
that the three largest utilities had a (largely unhedged) obligation to trade on the day-ahead and
real-time markets operated by the PX and the ISO. Wholesale market prices were deregulated, while
retail prices were fixed for up to four years. The reforms assumed that wholesale prices would be
lower than the administrative cap set for the retail price. As it turned out, markets appeared to be
quite competitive in periods with low and moderate demand. However, demand had been increasing
rapidly in the previous years, while there had been little new investment. As a result, in periods of
high demand a combination of tight supplies and inelastic demand created opportunities for individ-
ual generators to exercise market power. Between May 2000 and June 2001, California experienced
an explosion in wholesale power prices, followed by supply shortages and rolling blackouts with
How to ensure adequate investment in power plants? 143
physical rationing by the ISO. In January 2001, CALPX declared itself bankrupt after it had been
unable to implement mitigation measures imposed by the regulator. California responded to the
crisis with costly long-term contracts of up to 20 years negotiated by the state, long-term obligations
for procurement, a freeze on retail competition and, overall, by taking some step backs from a fully
decentralized market model. The California crisis even made it into the documentary on the Enron
bankruptcy The Smartest Guys in the Room.
3. Thomas-Olivier Léautier (2019) argues that capacity mechanisms owe more to the political
economy than to microeconomics. He argues that elected officials prefer a zero-blackout criterion
irrespective of the costs incurred. He also argues that most system operators, regulators and govern-
ment employees are in favour of an increase in their scope of intervention through the design and
monitoring of capacity mechanisms. These employees are the first to be blamed by politicians in the
case of blackouts.
4. In Batlle et al. (2007) and Batlle and Pérez-Arriaga (2008) our colleagues share their views on the
Spanish and international experiences with capacity mechanisms.
5. The concept of reliability option was first outlined by Pérez-Arriaga (1999). Vázquez et al. (2002)
discuss the experience of Colombia with this mechanism. Oren (2005) also promotes the concept.
In Bhagwat and Meeus (2019) we discuss the implementation of reliability options in Ireland and
Italy.
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ACER (2013), ‘Capacity Remuneration Mechanisms and the Internal Market for Electricity’.
Batlle, C. and I. J. Pérez-Arriaga (2008), ‘Design criteria for implementing a capacity mechanism in
deregulated electricity markets’, Utilities Policy, 16 (3), 184–93.
Batlle, C., C. Vázquez, M. Rivier and I. J. Pérez-Arriaga (2007), ‘Enhancing power supply adequacy
in Spain: Migrating from capacity payments to reliability options’, Energy Policy, 35 (9), 4545–54.
Bhagwat, P. and L. Meeus (2019), ‘Reliability options: Can they deliver on their promises?’, Electricity
Journal, 32 (10).
Bhagwat, P. C., L. J. de Vries and B. F. Hobbs (2016), ‘Expert survey on capacity markets in the US:
Lessons for the EU’, Utilities Policy, 38, 11–17.
Borenstein, S. (2002), ‘The trouble with electricity markets: Understanding California’s restructuring
disaster’, Journal of Economic Perspectives, 16 (1), 191–211.
Borenstein, S., J. Bushnell, C. R. Knittel and C. Wolfram (2008), ‘Inefficiencies and market power in
financial arbitrage: A study of California’s electricity markets’, Journal of Industrial Economics, 56
(2), 347–78.
Borenstein, S., J. Bushnell and F. A. Wolak (2003), ‘Measuring market inefficiencies in California’s
restructured wholesale electricity market’, American Economic Review, 92 (5), 1376–405.
Commission de l’économie (2015), ‘Débat Sur Le Plan de Délestage’ [‘Debate on the Shedding Plan’],
accessed at https://www.dekamer.be/doc/CCRI/pdf/54/ic044x.pdf.
Cramton, P. and S. Stoft (2006), ‘The Convergence of Market Designs for Adequate Generating
Capacity’, Report for California Electricity Oversight Board, accessed at https://doi.org/10.1007/
s13398-014-0173-7.2.
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Cretì, A. and F. Fontini (2019), ‘Investing in power generation’, in Economics of Electricity: Markets,
Competitions and Rules, Cambridge: Cambridge University Press, pp. 259–98.
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etudes/BRIE/2017/603949/EPRS_BRI(2017)603949_EN.pdf.
Hancher, L., A. de Hauteclocque and M. Sadowska (ed.) (2015), Capacity Mechanisms in the EU Energy
Market: Law, Policy, and Economics, Oxford: Oxford University Press.
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Environmental Policy, 2 (2).
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Léautier, Thomas-Olivier (2019), ‘The highly visible hand: Capacity mechanism’, in Imperfect Markets
and Imperfect Regulation, Cambridge, MA: MIT Press, pp. 325–59.
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Economics of Missing Markets, Information, and Games, Oxford: Clarendon Press, pp. 211–42.
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Electricity Journal, 18 (9), 28–42.
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J. Pérez-Arriaga, H. Rudnick, M. R. Gent and A. J. Roman (1999), ‘Reliability in the new market
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?fileID=9619272.
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supply’, IEEE Transactions on Power Systems, 17 (2), 349–357.
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How to ensure adequate investment in power plants? 145
of extreme conditions. The 2016 Commission Sector Inquiry highlighted a strategic reserve as the most
appropriate mechanism for circumstances where temporary or local adequacy concerns are identified.
Capacity obligation: Also called capacity requirement, this is an obligation on suppliers or large consumers
to contract with generators for a certain level of capacity related to their self-assessed future consumption or
supply (e.g. three years ahead) plus a reserve margin that is decided on by an independent body. If not
enough capacity is contracted, the supplier or the consumer will pay a buy-out price/fine. The price for
capacity is determined in a decentralized way through the contracts. This model can also include a market for
exchangeable obligations (secondary market).
Capacity auction: The capacity volume to be auctioned is decided centrally (by the TSO or regulator) and
totally a few years in advance. The price is determined by auction and is paid to all resources (existing and
new) clearing the auction. Capacity providers bid to receive a payment that reflects the cost of building new
capacity. The new capacity participates in the energy-only market.
Reliability options: This mechanism is based on a forward auction (e.g. three years ahead). A capacity
provider enters into an option contract with a counterparty (a TSO or a large consumer or supplier). The
Volume-based
contract offers the counterparty the option to procure electricity at a predetermined strike price. The capacity
Market-wide
provider must be available to the system operator for dispatch above the strike price. In the 2016 Commission
Sector Inquiry, reliability options were highlighted as the most appropriate mechanism where long-term
adequacy concerns are identified.
Capacity payments: This is a price-based mechanism. It pays a fixed amount (set by the regulator) for the
Price-based
capacity available to all generators. The plants receiving capacity payments continue to participate in the
energy-only market. The payment can also be made when the plant does not run, but certain availability
criteria have to be met.
146 Evolution of electricity markets in Europe
In this chapter we answer two questions. First, why did we start this new paradigm? Second,
how is this change of paradigm being implemented?
In this section, we discuss the extent to which the markets for electricity have delivered their
promise of better service and cheaper prices. We examine electricity bills, the energy transi-
tion and the political issues around the energy transition.1
First, electricity bills. The main components of electricity bills are the energy component,
the network component, and taxes and levies. The energy component is the wholesale market
price plus a retail margin. On average, EU wholesale prices have been steadily decreasing.
However, this is not always translated into a decrease in retail prices as not all countries have
well-functioning retail markets. The average EU household electricity bill increased by 28.2
per cent during the period 2008–2018. Other components of the electricity bill have been
increasing too. The network component increase reflects investments in networks necessary
for the integration of renewable energy resources. The taxes and levies, on top of value-added
tax, form the component that has increased the most. This has been in order to recover the
subsidies that have been provided to support the energy transition. These include support for
the large-scale deployment of renewable energy projects and energy efficiency measures.
They may also include the costs of social measures against energy poverty. On average in the
EU, the three main components of household electricity bills each make up about a third of the
total bill. In the same period, the average price for industrial customers only increased by 1.4
per cent. These customers have often contributed less or have been exempted from the taxes
and levies that drove up household bills. They have also had more opportunities to benefit
from the support mechanisms for renewable energy. Many industrial consumers invested in
the co-generation of heat and power, and in solar and wind parks. Some even own and operate
private distribution networks on their industrial sites. Until recently, households had fewer
opportunities to invest in the energy transition, and the opportunities were often limited to
privileged households with PV rooftops.
Second, the energy transition. The EU energy and climate targets for 2030 are more ambi-
tious than those for 2020. The greenhouse gas emission target increases from 20 per cent
to 40 per cent (reduction from the 1990 level), the renewable energy target increases from
20 per cent to 32 per cent (energy from renewable sources in the gross final consumption)
and the energy efficiency target increases from 20 per cent to 32.5 per cent (savings against
153
154 Evolution of electricity markets in Europe
a baseline energy consumption scenario established in 2007). The new European Commission
(2019–2024) has the ambition to achieve climate neutrality by legislating for a net zero green-
house gas emission target for 2050, and it might even bring forward this ambition to 2030. The
electricity sector is one of the sectors that has been partly decarbonized to achieve the 2020
targets. To achieve the 2030 and 2050 targets, this decarbonization will need to accelerate
so that other sectors can switch to electricity to decarbonize. The transport sector can then
be decarbonized with electric vehicles and other competing technologies, while the building
sector can be decarbonized with heat pumps as well as other competing technologies. A com-
bination of carbon pricing and subsidies will need to be used to push this forward, which will
put additional pressure on electricity bills.
Third, political issues. Increasing electricity bills for households, and bigger household bills
in general, have already created unrest in several countries. The unrest that has attracted the
most media attention is the Gilet Jaunes movement in France, which is voicing the frustration
of those that feel left behind. At the other end of the spectrum, there is a growing movement
of climate activists who are concerned that we are not going fast enough. School strikes and
climate marches initiated by young activists in several European countries have been all over
the media. The Clean Energy Package was developed and negotiated in the period up to 2019
and speaks to both forces in society. Citizens are invited to take ownership of the energy tran-
sition. Putting citizens at the centre of the energy transition is the new paradigm.
In this section, we explain how the new paradigm has been translated into an enabling regula-
tory framework. We first discuss individual and collective consumer rights, and then focus on
the actors that will play a key role in helping consumers exercise their rights and opportunities.
rights for schemes that do not account separately for the electricity fed into and consumed
from the grid are to be granted after 31 December 2023.
Second, collective self-consumption through energy communities. Not every household has
the necessary time, knowledge, financial means or space to become a prosumer. Energy com-
munities can help households access all or at least some of the prosumer benefits. Directive
(EU) 2018/2001, better known as the revised Renewable Energy Directive (RED II), requires
all countries to develop a regulatory framework for renewable energy communities (RECs).
These communities can be set up by consumers in the same apartment building, block, street,
neighbourhood or region to jointly invest in renewable energy projects. Countries can choose
how they define these communities in terms of proximity, but they should enable collective
self-consumption within a renewable energy community. Some form of energy coopera-
tive already existed in most countries, but a clear regulatory framework was often lacking.
Directive (EU) 2019/944 requires countries to develop a regulatory framework for citizen
energy communities (CECs). These communities can mobilize citizens in joint initiatives that
go beyond jointly investing in renewable energy projects. They can take over the role of other
market parties, such as retailers and aggregators. CECs can be local, like RECs, but they can
also be national. Many countries already have green retailers that are organized as coopera-
tives of citizens operating at the national level.
Third is consumer entitlement to a smart meter with a dynamic retail contract. The target of
reaching an 80 per cent roll-out of smart meters by 2020 will not be achieved in all the coun-
tries in Europe. Having a smart meter enables dynamic retail contracts, but such contracts have
not always been available in countries with smart meters. Directive (EU) 2019/944 continues
to encourage a smart meter roll-out, but it is not explicitly required. Countries that decide
not to go forward with a roll-out after conducting a cost–benefit assessment must in any case
ensure that consumers that want a smart meter can get one within a few months of requesting it
and at a reasonable price determined by the energy regulator. National regulatory frameworks
are to ensure that consumers with a smart meter are then entitled to a dynamic retail price
contract. Dynamic retail contracts have been defined as retail contracts with a temporal gran-
ularity at least equal to the market settlement period. Following Regulation (EU) 2019/943,
the settlement period is converging towards 15 minutes. Directive (EU) 2019/944 also defines
minimum functionalities for smart meters in accordance with Commission Recommendation
2012/148/EU. These include the provision of information on actual times of use, cyber secu-
rity and consumer privacy protection, consumption data availability on consumer request and
remote-control functionalities. At the time of writing, remote-control functionalities are only
available in five countries. By giving market parties or the system operator remote-control
over their meter or appliances, consumers can earn money for the flexibility they can provide
to the system.
In what follows, we show why distribution system operators (DSOs), transmission system
operators (TSOs), retailers and aggregators have a key role to play in enabling the new
paradigm.
First, DSO and TSOs. These will increasingly compete for the use of flexibility between
balancing and congestion management, which will require coordination. With the introduction
156 Evolution of electricity markets in Europe
of rooftop PVs, batteries, electric vehicles and heat pumps, flexibility is increasingly available
in distribution grids and can be aggregated in so-called virtual power plants of decentralized
energy resources. In Chapter 5, we showed that TSOs started to change balancing markets to
create a level playing field between the traditional and new sources of flexibility. Following
Directive (EU) 2019/944, countries also have to create an enabling regulatory framework
for DSOs to procure flexibility services from so-called flexibility service providers. DSOs
have to develop multi-annual investment plans that consider flexibility as an alternative to
network expansion. Some DSOs have already started to procure flexibility services in newly
established flexibility markets. Others have started to countertrade locally in intraday markets.
Note that this is very similar to redispatching actions by TSOs. Coordination is therefore
needed between TSO balancing actions, TSO congestion management actions in transmission
networks and DSO congestion management actions in distribution networks. How this will
work is an open issue.3
Second, retailers and aggregators. Retailers can become aggregators that help their cus-
tomers valorize their flexibility as balancing service providers for TSOs and/or flexibility
service providers for DSOs and TSOs. Retailers did not always do this because it conflicted
with their interests as commodity suppliers. Helping customers valorize flexibility can indeed
imply selling less volume. New players have therefore emerged that focus on the aggregation
business. They either had to become retailers themselves or ask existing retailers to access
their clients. Directive (EU) 2019/944 requires all countries to develop an enabling regulatory
framework for independent aggregators to operate next to retailers. This includes the possi-
bility of operating without consent from the retailer and an arrangement to organize compen-
sation between the retailer and the aggregator when one inflicts costs on the other. Similar to
the provisions for retailers, aggregators also have to provide data to their customers, enable
switching and provide clear terms and conditions in their contracts.
The future of retail markets is very much an open issue. There used to be one retailer
active at each connection point. Next to the traditional commodity retailer there will now be
independent aggregators interacting with the same customers. Retailers risk becoming backup
solutions for the supply of a commodity. Energy communities are alternative suppliers, and
peer-to-peer supply solutions are also emerging. Peer-to-peer platforms allow consumers to
source their energy from producers or prosumers of their choice. How the competition between
new and existing players in the retail market will be organized in the future is an open issue.
8.3 CONCLUSION
In this chapter about how to put the citizen at the centre of the energy transition, we have
answered two questions.
First, why did we start this new paradigm? Households electricity bills have increased
more than industrial ones. The energy transition is accelerating, with 2030 and 2050 targets
that are more ambitious than the 2020 targets were. Decarbonizing the electricity sector will
also help to decarbonize other sectors that could partly electrify, such as the transport sector
with electric vehicles and the building sector with heat pumps. Some citizens feel left behind,
while others want to accelerate the energy transition. The new paradigm is an answer to these
concerns. It increases opportunities for households to benefit from the energy transition.
How to put the citizen at the centre of the energy transition? 157
Second, how is this change of paradigm being implemented? New individual and collec-
tive consumer rights through energy communities have been introduced. The actors that are
expected to enable the new paradigm are TSOs, DSOs, retailers and aggregators. Prosumers
and energy communities will increasingly participate in balancing markets and flexibility
markets to valorize their flexible resources. Aggregators can help them access these markets.
The future of retail is uncertain, with competition from energy communities and peer-to-peer
trading.
NOTES
1. ACER and CEER (2019a) provide a decomposition of household and industry electricity bills. The
EU average level for the different components is reported together with figures for country capitals
over the period 2008–2018. These figures are updated every year in the annual market monitoring
report.
2. CEER (2019) gives new and developing practices for collective self-consumption and energy
communities and analyses their regulatory implications. ACER and CEER (2019b) provide more
information on the status of smart meter roll-outs and the availability of dynamic retail contracts in
Europe.
3. In Nouicer and Meeus (2019) we list the different flexibility pilot projects and European initiatives
that are being implemented. In Schittekatte and Meeus (2020) we analyse four pioneering flexibility
market projects and show that they give a different answer to six key questions: Is the flexibility
market integrated in the existing sequence of EU electricity markets? Is the flexibility market
operator a third party? Are there reservation payments? Are the products standardized? Is there
TSO–DSO cooperation over the organization of the flexibility market? Is there DSO–DSO coop-
eration over the organization of the flexibility market? The market design options for TSO–DSO
coordination are being discussed at the EU level. CEDEC et al. (2019) provide different options for
coordination between system operators.
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Approach to Active System Management’.
CEER (2019), ‘Regulatory Aspects of Self-Consumption and Energy Communities’, Ref:
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Schittekatte, T. and L. Meeus (2020), ‘Flexibility markets: Q&A with project pioneers’, Utilities Policy,
63, 101017.
158 Evolution of electricity markets in Europe
In the evolution of electricity markets in Europe, day-ahead markets have received most atten-
tion. It took a long time to integrate these markets, but the process is almost complete. What
was considered impossible at the start has been achieved. Intraday markets have been slower
in their development, but they are becoming more important with the transition to renewable
energy. In balancing markets, the definition of standard products and the creation of European
platforms to exchange these products across borders is a relatively new ambition, but much has
been achieved in a relatively short time. Of course, the devil is in the details, so implementa-
tion in the coming years will need to be closely monitored.
Looking back, most of the market integration process so far has required horizontal coordi-
nation between transmission system operators in different countries. Transmission constraints
were first managed by defining transmission rights and organizing separate markets for these
rights. The constraints were then integrated into wholesale markets and balancing markets
because this proved to be the best approach. The calculation of transmission constraints has
also been reorganized. The main open issues are the availability of transmission capacity
across timeframes and the definition of bidding zones. We currently have large bidding zones
with structural congestion inside them, and changing them is a sensitive topic.
Looking forward, vertical coordination between transmission and distribution system
operators is becoming more important, and this coordination process has only just started.
Distribution network constraints have always been avoided by (over-)investing in distribution
networks. This approach is becoming too expensive due to the integration of wind, solar,
electric vehicles and heat pumps in distribution grids. The trade-off between distribution grid
expansion and using flexibility to reduce the need for investment is one of the main challenges.
Flexibility can come from smart charging of electric vehicles and batteries, smart heating of
homes and the use of many other smart appliances.
To allow for coordination between all the resources at different voltage levels, this flexi-
bility deep inside the grid needs to be priced efficiently. Academics are already thinking of
wholesale and balancing markets that incorporate distribution network constraints to produce
distribution locational marginal prices. Practitioners in Europe currently do not consider this to
be feasible. Other solutions are favoured, such as flexibility markets, smart connection agree-
ments and distribution tariff reforms. We know from experience that these solutions can help,
but they have their limitations. It seems inevitable that we will go in the direction of DLMP.
The question is how long it will take.
164
Index
access charges 68–9, 70, 74 CBCA see cross-border cost allocation (CBCA)
ACER (The (European Union) Agency for the agreements
Cooperation of Energy Regulators) 7, 9, CCRs see capacity calculation regions (CCRs)
12, 13, 18–24, 30, 31, 34, 35, 43–4, 46–7, CEP see Clean Energy Package (CEP)
52, 55–6, 58, 63, 65–7, 70, 73, 75, 79, CGM see common grid model (CGM)
81–2, 84–5, 91, 92, 94, 97, 100, 105–7, citizens, placing at centre of energy transition
122, 127–8, 134, 140, 141, 146, 150–151, 153–4, 155–6, 157, 158–63
157 Clean Energy Package (CEP) 3, 4, 5, 9, 13, 18,
ACER Regulation (recast of) 3, 5, 18, 21–3 20–23, 31, 44, 52, 56, 57, 115, 123, 127–8,
active customers 80, 154–5, 158, 161 139, 142, 154
aggregation 123, 126, 130, 156, 157, 158, 163 clock incident 87–8
automatic frequency restoration process (aFRP) common grid model (CGM) 53–4, 62, 64, 65,
93, 101, 107 114, 127
automatic frequency restoration reserves (aFRR) congestion management 42, 95, 96, 155–6, 162
84–5, 87, 90, 93–4, 96, 100–102, 106–7, see also capacity allocation and congestion
109 management guideline (CACM GL)
congestion rent 40–41, 78
balance responsibility 84–8, 89–95, 96, 110 congestion revenue 69, 79
balance responsible parties (BRPs) 88–9, 91, 104, connection charges 68, 69, 74
141, 149, 158, 163 connection network codes (CNCs) 8, 116–20,
balancing capacity exchange 94–5, 108–10 121–3, 125–6, 127–34
balancing capacity tenders 90–91, 96, 105–7 connection requirements see system operation and
balancing energy exchange see exchange of connection requirements
balancing energy, European platforms for consumer rights 154–5
balancing energy markets 90–91, 96, 106 cost–benefit analysis (CBA) 72, 73, 81
balancing markets 33, 89, 90, 91–5, 96, 136, 141, cost-reflective network charges 70–71, 74, 80, 96,
149, 156, 157, 164 154, 158
balancing pilot projects 97 cost sharing 30
bidding zones 12, 40–41, 42–7, 50–51, 55–6, 57, Council of European Energy Regulators (CEER)
60, 61, 62, 63, 65–6, 67, 73–4, 88, 89, 103, 14, 55, 58, 63, 67, 91, 97, 157
146–7, 151, 164 cross-border cooperation 11–12
border trade constraints 48–50, 51–7, 60, 61, cross-border cost allocation (CBCA) agreements
62–7 72–5, 82
Brexit 12–13 cross-border intraday market project (XBID) 34,
BRPs see balance responsible parties (BRPs) 35
cruise ship incident 112–13, 123
capacity allocation and congestion management
guideline (CACM GL) 8, 20, 23, 29–31, data exchange 52–5, 57, 65
33–4, 42–7, 51–4, 56–7, 62–6, 102, 109, day-ahead timeframes 28–35
127 demand connection network code (DC NC) 8, 24,
capacity calculation regions (CCRs) 52, 53, 57, 116, 117–20, 121–2, 125, 126, 129–34
63, 66 Directive 96/92/EC see First Directive
capacity mechanisms 135–7, 138, 139–40, 141, Directive 2003/54/EC see Second Directive
142, 145–51 Directive 2009/72/EC see Third Directive
165
166 Evolution of electricity markets in Europe
Directive (EU) 2018/844 see Energy Performance European Network of Transmission System
in Buildings Directive Operators for Electricity (ENTSO-E) 5, 6,
Directive (EU) 2018/2001 see Renewable Energy 7, 9, 13, 18–22, 24, 30, 53, 54, 56, 64–5,
Directive (RED II) 67, 69, 71, 72, 75, 80–81, 85, 87, 92, 94,
Directive (EU) 2018/2002 see Energy Efficiency 96–7, 111, 114, 115, 118, 124, 127–9,
Directive 139–40, 141, 146, 151
Directive (EU) 2019/944 see Electricity Directive European platforms for exchange of balancing
(Recast of) energy 93–4, 96, 100, 102, 106, 107–8,
Directorate-General for Competition (DG COMP) 110, 164
55–6, 67 European Single Market 2, 13, 138
distribution locational marginal pricing (DLMP) European treaties 2, 13, 16
58, 164 exchange of balancing capacity 94–5, 108–10
distribution system operators (DSOs) 5, 7, 9, exchange of balancing energy, European
17–18, 21–2, 24, 53, 54–5, 65, 80, 95, platforms for 93–4, 96, 100, 102, 106,
110, 113, 116, 118, 126, 131, 137, 155–6, 107–8, 110, 164
162–3 explicit auctions 25, 26–7, 32, 33–4, 47, 69
electricity balancing guideline (EB GL) 8, 20, financial transmission rights (FTRs) 32–3, 46
23, 84–5, 87, 89, 90, 91–2, 93–4, 95, 96, First Directive 3–4, 16–17, 18, 25, 34, 42
100–110 First Energy Package 3–4, 5, 12, 17–18
electricity bills 153, 154, 156 flexibility markets 95, 96, 155–6, 157, 164
Electricity Directive (Recast of) 3–4, 5, 79, 90, flow-based market coupling (FBMC) 50–51, 52,
105, 128, 147, 154–6, 158–60, 161–3 55, 57, 60, 61, 62, 72
electricity market integration 2, 11–13, 16–17, 25, forward capacity allocation guideline (FCA GL)
27, 35, 38–9, 54–5, 92–5, 96, 164 8, 20, 23, 32–3, 34, 44–6, 52–3, 54, 57,
electricity price area differentials (EPADs) 33 63–5
Electricity Regulation (recast of) 3, 5, 18, 20–24, frequency containment 85–6, 92, 95, 100, 106,
44, 52, 56, 62–7, 70, 79–80, 88, 89, 90, 109
94–5, 101, 103–6, 109, 115, 122–3, 127–8, frequency containment reserves (FCR) 85–6, 87,
134, 139–40, 141, 146–51, 155, 158–9, 91, 94, 95, 101, 106, 108–9
163 frequency-controlled reserves 85, 86
electricity transmission system operation frequency restoration 86–7, 92, 113
guideline (SO GL) 8, 20, 23–4, 52, 53, see also automatic frequency restoration
54, 57, 62–5, 84–6, 87, 94, 95, 100–102, process (aFRP); automatic frequency
108–10, 114, 118, 123, 127, 129–30 restoration reserves (aFRR); manual
emergency and restoration network code (ER NC) frequency restoration reserves
8, 24, 62, 127 (mFRR)
energy communities 155, 156, 157, 159 frequency restoration control error (FRCE) 101–2
Energy Efficiency Directive 5 frequency restoration process (FRP) 85, 86–7, 96,
energy-only markets 135, 142, 145 101–2, 106–7
Energy Performance in Buildings Directive 5 frequency restoration reserves (FRR) 87, 90, 93,
energy storage 70, 79, 90, 105, 122–3, 134, 135, 94–5, 102, 105, 106, 109
138, 146, 147, 149, 159, 162, 163
ENTSO-E see European Network of G-component (generator component) 69, 72,
Transmission System Operators for 79–80
Electricity (ENTSO-E) generation adequacy 80, 135, 137, 141, 142
EU electricity network codes 7–10, 13, 19–21, 22, generation and load data provision methodology
23–4, 31, 34–5, 56, 64, 122–3, 134 (GLDPM) 53, 54, 63–4, 65
EU legislative energy packages 4–7, 13, 16–24 grid user, different types of 116–17, 125–6
EU resource adequacy assessment 135, 139–40,
142, 146–8 harmonization of network tariffs 69–70, 74
EUPHEMIA (Pan-European Hybrid Electricity high voltage direct current (HVDC) 74, 125–6
Market Integration Algorithm) 29, 30–31 high voltage direct current network code (HVDC
NC) 8, 24, 116, 123, 125
Index 167
historical privileges for trade across borders 25–6, missing money problem 91, 96, 135–6, 138, 142
34
N–1 redundancy principle 49, 57
IGMs see individual grid models (IGMs) national regulatory authorities (NRAs) 5, 7, 8–9,
imbalance netting 92–3, 95, 96, 107, 109 17–18, 20, 22, 25, 31–2, 34, 43, 46–7, 52,
imbalance settlement 88–9, 91, 96, 103, 141, 149 53, 56, 63, 65, 71–3, 82, 100, 107–8, 114,
imbalance settlement period (ISP) 44, 89, 96, 122, 125, 127, 134
104–5, 106, 141, 149, 159, 161 net transfer capacity (NTC) 50–51, 58, 62
implicit auctions 27, 32, 34, 41, 47 network codes see connection network codes
see also market coupling (CNCs); EU electricity network codes
independent system operators (ISOs) 48, 142–3 network tariffs 68, 69–70, 71–5, 78, 79–82
individual grid models (IGMs) 53–4, 64 nodal pricing 56–7, 58, 88
inter-TSO compensation (ITC) scheme 71–2, 74, Nominated Electricity Market Operators
75, 80 (NEMOs) 8, 20–21, 29–31, 42–4, 47
intraday auctions 33–4, 35, 47 Nordic Cooperation of Electricity Utilities
intraday capacity calculations 51, 54, 57, 62–3, (NORDEL) 84, 85, 86
127 Norway–Sweden case 73–4
intraday common grid models 64
intraday cross-zonal capacity 47 offshore power park module (OPPM) 116, 125,
intraday cross-zonal gate closure 46–7, 95, 102, 129, 133
109–10 Operational Planning Data Environment (OPDE)
intraday cross-zonal pricing 34, 47 54, 64
intraday markets 30, 33–4, 35, 38, 39, 42–4, 87, over the counter (OTC) trading 31, 38
95, 110, 156, 159, 164
intraday technical price limit 141, 149 peer-to-peer trading 156, 157
intraday trading services 29, 42 Physical Communication Network (PCN) 54
intraday transmission rights 33–4 physical transmission rights (PTRs) 32–3, 46
Italian blackout 49–50 power exchanges 27, 28–33, 35–6, 38–9, 40–41,
Italy–Greece case 74 42–3
ITC mechanism see inter-TSO compensation power-generating modules (PGMs) 116–22, 125,
(ITC) scheme 128–33
power park module (PPM) 116, 118, 120, 125,
Joint Allocation Office (JAO) 32, 44 129, 132
power plants investment see capacity mechanisms
KORRR methodology 54–5, 65 power system 10, 11, 13, 53, 64, 84, 87, 111, 118,
122, 123
load frequency control (LFC) 86, 87, 94, 101–2, priority lists 9, 19, 22, 25–6
108–10, 130 pro-rata rationing 25–6
load-shedding plans and controversies 136–7 proactive balancing 87, 96
loop flows 61 projects of common interest (PCIs) 72–3, 74–5,
80–82
manual frequency restoration reserves (mFRR)
84–5, 87, 90, 93–4, 96, 100, 102, 106–7, rationing of supply 136–7
109 RCCs see regional coordination centres (RCCs)
market-based allocation of transmission rights reactive balancing 87, 96, 102
26–7, 34 real-time energy pricing 89, 105
market coupling 27, 28–34, 35, 40–41, 42–3, 78 regional coordination centres (RCCs) 52, 53–4,
see also flow-based market coupling 57, 62, 63, 64, 66, 67, 94–5, 109, 114, 115,
(FBMC) 127, 128
market coupling operator (MCO) 25, 29–30, 34, regional security coordination initiatives (RSCIs)
40–41, 42–3, 60 51–2, 62, 113–14, 123
market splitting 25–6, 28, 29, 33 regional security coordinators (RSCs) 51–2, 53,
missing market problem 136, 142 57, 62–3, 64, 114–15, 124, 127, 128
regional system operation 113–15, 123
168 Evolution of electricity markets in Europe
Regulation (EC) 713/2009 3, 18, 20–21 single intraday coupling (SIDC) 34, 42–4, 47
Regulation (EC) 714/2009 3, 18–24, 72, 79–80, solar eclipse incident 111–12, 115, 123
116 solidarity mechanism 10–11, 85–6, 95–6, 101
Regulation (EC) 1228/2003 3–4, 26, 34, 42, 69, synchronous power-generating module (SPGM)
72, 79–80 116, 118, 120, 125, 129, 132
Regulation (EU) 2018/1999 see Regulation on the system disturbance 111–12
Governance of the Energy Union system inertia 10, 11, 13, 118, 122
Regulation (EU) 2019/941 see Regulation on system operation and connection requirements
Risk-Preparedness 111–13, 115–20, 121–3, 125–6, 127–34
Regulation (EU) 2019/942 see ACER Regulation system operation guideline (SO GL) 8, 20, 23–4,
(recast of) 52, 53, 54, 57, 62–5, 85, 86, 87, 94, 95,
Regulation (EU) 2019/943 see Electricity 100–102, 108–10, 114, 118, 123, 127,
Regulation (Recast of) 129–30
Regulation (EU) No 347/2013 see
Trans-European Energy Network (TEN-E) tandem bicycle analogy 10–11
Regulation technical standards 115–20, 121, 122–3, 125–6
Regulation on Risk-Preparedness 3, 5, 115, 123, Tempus case 138
128 Ten-Year Network Development Plan (TYNDP)
Regulation on the Governance of the Energy 72, 75, 80
Union 5, 147 Terms and Conditions or Methodologies (TCM)
regulatory guides 16–24, 42–7, 62–7, 79–82, 8–9
100–110, 127–34, 145–51, 158–63 Third Directive 3–4, 17–18, 104, 125–6, 129
Renewable Energy Directive (RED II) 5, 155, 159 Third Energy Package 3–4, 5, 7, 8–9, 17–23, 129
requirements for grid connection of generators trade across borders 25–6, 28–31, 33–4, 35, 38–9,
network code (RfG NC) 8, 24, 116, 40–41, 42–7
117–18, 120, 121–2, 125, 126, 128–34 see also border trade constraints;
reserve products, terminology for 84–5 transmission rights
reserve replacement 85, 87, 100, 106, 108–9 Trans-European Energy Network (TEN-E)
reserves 11–12, 85–6, 87, 89–92, 93, 94–5, 96, Regulation 72–3, 74, 80–82
101, 102, 105, 106, 108–10 transit charges 71–2, 74, 80
see also automatic frequency restoration transit flows 61, 71–2
reserves (aFRR); frequency transmission lines 48–9, 55, 57, 72, 80, 95, 109
containment reserves (FCR); manual transmission planning 48–9, 57
frequency restoration reserves transmission rights 25–7, 32, 33–5, 42, 44–6, 50,
(mFRR) 69, 94, 78, 136, 164
resource adequacy see EU resource adequacy transmission system operators (TSOs) 5–7, 8, 9,
assessment 11, 13, 17–18, 20–21, 25, 26, 28, 30, 32–3,
risk preparedness 115 34–5, 38–9, 42–7, 48–52, 53–5, 56, 57,
see also Regulation on Risk-Preparedness 60, 62–7, 68–9, 71–2, 73, 74, 78, 79–80,
RSCs see regional security coordinators (RSCs) 82, 84, 86–8, 89, 90, 92–5, 96, 100–110,
111–13, 114–15, 118–20, 121–2, 123, 126,
scarcity pricing 91–2 127–34, 137, 138, 141, 145, 151, 155–6,
Second Directive 3–4, 17, 18 157, 162
Second Energy Package 3–4, 5, 7, 12, 17–18, 26 TSOs see transmission system operators (TSOs)
security of supply 2, 16, 105, 136–8, 141, 147
sharing balance responsibility between system Union for Coordination of Transmission of
operators 84–8, 95–6 Energy (UCTE) 49–50, 84, 85, 86, 112
sharing network investment costs between
countries 72–5 virtual border calculations see border trade
sharing of reserves 11–12, 94–5, 108–10 constraints
single day-ahead coupling (SDAC) 28–9, 31, 34, volume coupling 28–9, 35
43–4
single energy market 12, 16
Single European Act 1986 2, 16 zonal congestion pricing approach 50